# GSE7880 - R2 (SPMA, kmer, SNR, 3UTR, highest.magnitude, D3, BH, SL, 6, 0.01)

#### krismer@mit.edu

#### 2018-06-04

# 1 Metadata

## 1.1 Configuration

Analysis approach:

    approach <- "kmer"

Species:

    species <- "human"

Graphical output format:

    graphics.format <- "SVG"

Sequence region:

    sequence.type <- "3UTR"

Number of bins:

    n.bins <- 40

Merge method for duplicate entries:

    merge.method <- "highest.magnitude"

Maximum degree of polynomial model for spectrum evaluation:

    max.model.degree <- 3

P-value adjustment method:

    p.adjust.method <- "BH"

P-value combining method:

    p.combining.method <- "SL"

k-mer length:

    k <- 6

Significance threshold for k-mers:

    kmer.significance.threshold <- 0.01

Motif database:

    motif.db <- "transite"

## 1.2 Sequence data retrieval

- merge rows with duplicate RefSeq identifiers
- retrieve requested sequence regions (3’ UTRs, 5’ UTRs, or mature mRNAs) for each RefSeq identifier using
  - GRCh38/hg38 genome assembly for human platforms
  - GRCm38/mm10 genome assembly for mouse platforms
- draw histogram of length distribution of retrieved sequences
- draw histogram of value distribution of retrieved sequences (“value” column in uploaded file)

The latest genome assembly releases (GRCh38/hg38 for human platforms, GRCm38/mm10 for mouse platforms) are used to retrieve the requested sequence regions for all specified transcripts.

### 1.2.1 Duplicate RefSeq identifier

Number of occurrences per category before merge step:

### 1.2.2 Summary of sequence data

Sequence data retrieval summary:

Property | Value
--- | ---
number of valid RefSeq identifiers | 8472
number of invalid RefSeq identifiers | 73
number of RefSeq identifiers with associated sequence | 8249
species | human
sequence type | 3UTR
platform | custom

Length distribution of retrieved sequences:

### 1.2.3 Value distribution of transcripts

Histogram of the differential expression values (`value` column):

# 2 k-mer-based Spectrum Motif Analysis

Warning: The presented results are speculative and should be used with caution. Especially the link between the RNA-binding protein and its sequence motif (i.e., the set of k-mers) is not well established. It is recommended to interpret the results with the underlying k-mer set in mind, instead of only looking at the associated RNA-binding proteins. Sequence motif logos and associated hexamers and heptamers of all RNA-binding proteins in the database can be found in the Motif Database section of the Transite website.

Transcripts in bin 1 have smallest value in `value` column, transcripts in bin 40 have greatest value in `value` column.

Binning scheme: 39 bins with 206 transcripts each, last bin with 215 transcripts

## 2.1 Summary

Spectrums that meet the following criteria are considered non-random (and random otherwise):

- adjusted \(R^2 \geq 0.4\)
- local consistency score Monte Carlo sampling \(n > 1000000\)
- at least 10% of bins with significant (\(\alpha = 0.05\)) enrichment or depletion of putative binding sites

Color legend:

spectrum classification: non-random (3 out of 3 criteria met)

spectrum classification: random (2 out of 3 criteria met)

spectrum classification: random (1 out of 3 criteria met)

spectrum classification: random (0 out of 3 criteria met)

Column | Description
--- | ---
ID | unique motif ID
RBPs | RNA-binding proteins associated with this motif
ARS | adjusted \(R^2\)
slope | either slope (if degree 1 polynomial), or coefficient of the linear term (if degree greater than 1); positive slope implies enrichment of putative binding sites in highly ranked transcripts (according to value column), negative slope implies depletion
degree | polynomial degree
p-value | adjusted p-value of local consistency score
* | number of bins with significant (\(\alpha = 0.05\)) enrichment or depletion of putative binding sites
** | number of bins with highly significant (\(\alpha = 0.01\)) enrichment or depletion of putative binding sites
*** | number of bins with extremely significant (\(\alpha = 0.001\)) enrichment or depletion of putative binding sites
C | each spectrum is classified as either non-random (all three criteria met) or random (0, 1, or 2 criteria met)

## 2.2 Detailed analysis

### 2.2.1 Non-random

Motifs with non-random enrichment pattern (3 out of 3 criteria met)

#### 2.2.1.1 ELAVL1, ELAVL3 (M232_0.6)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: non-random (3 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0.841 | \(\geq 0.4\)
polynomial degree | 3 | \(\geq 1\)
slope | 0.994 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 1e-07 | \(< 0.000005\)
number of significant bins | 6 | \(\geq 4\)

#### 2.2.1.2 TIA1 (M075_0.6)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: non-random (3 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0.804 | \(\geq 0.4\)
polynomial degree | 3 | \(\geq 1\)
slope | 0.868 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 1e-07 | \(< 0.000005\)
number of significant bins | 7 | \(\geq 4\)

#### 2.2.1.3 RALY (M150_0.6)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: non-random (3 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0.804 | \(\geq 0.4\)
polynomial degree | 3 | \(\geq 1\)
slope | 0.868 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 1e-07 | \(< 0.000005\)
number of significant bins | 7 | \(\geq 4\)

#### 2.2.1.4 HNRNPC (M025_0.6)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: non-random (3 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0.801 | \(\geq 0.4\)
polynomial degree | 3 | \(\geq 1\)
slope | 0.8 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 2e-07 | \(< 0.000005\)
number of significant bins | 7 | \(\geq 4\)

#### 2.2.1.5 HNRNPCL1 (M158_0.6)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: non-random (3 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0.801 | \(\geq 0.4\)
polynomial degree | 3 | \(\geq 1\)
slope | 0.8 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 1e-07 | \(< 0.000005\)
number of significant bins | 7 | \(\geq 4\)

#### 2.2.1.6 TIA1 (M156_0.6)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: non-random (3 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0.798 | \(\geq 0.4\)
polynomial degree | 3 | \(\geq 1\)
slope | 0.764 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 1e-07 | \(< 0.000005\)
number of significant bins | 7 | \(\geq 4\)

#### 2.2.1.7 CPEB3, CPEB2 (M012_0.6)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: non-random (3 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0.787 | \(\geq 0.4\)
polynomial degree | 3 | \(\geq 1\)
slope | 0.644 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 2e-07 | \(< 0.000005\)
number of significant bins | 8 | \(\geq 4\)

#### 2.2.1.8 U2AF2 (M077_0.6)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: non-random (3 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0.783 | \(\geq 0.4\)
polynomial degree | 3 | \(\geq 1\)
slope | 0.613 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 1e-07 | \(< 0.000005\)
number of significant bins | 6 | \(\geq 4\)

#### 2.2.1.9 CPEB3, CPEB4 (M149_0.6)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: non-random (3 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0.727 | \(\geq 0.4\)
polynomial degree | 1 | \(\geq 1\)
slope | 0.877 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 1e-07 | \(< 0.000005\)
number of significant bins | 7 | \(\geq 4\)

#### 2.2.1.10 CPEB3 (M120_0.6)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: non-random (3 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0.713 | \(\geq 0.4\)
polynomial degree | 1 | \(\geq 1\)
slope | 0.598 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 1e-07 | \(< 0.000005\)
number of significant bins | 7 | \(\geq 4\)

#### 2.2.1.11 PTBP1, PTBP2, ROD1 (M228_0.6)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: non-random (3 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0.71 | \(\geq 0.4\)
polynomial degree | 1 | \(\geq 1\)
slope | 0.526 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 2e-07 | \(< 0.000005\)
number of significant bins | 6 | \(\geq 4\)

#### 2.2.1.12 ELAVL1, ELAVL3 (M108_0.6)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: non-random (3 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0.707 | \(\geq 0.4\)
polynomial degree | 1 | \(\geq 1\)
slope | 0.737 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 3e-07 | \(< 0.000005\)
number of significant bins | 4 | \(\geq 4\)

#### 2.2.1.13 ELAVL1, ELAVL3 (M031_0.6)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: non-random (3 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0.66 | \(\geq 0.4\)
polynomial degree | 1 | \(\geq 1\)
slope | 0.674 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 9e-07 | \(< 0.000005\)
number of significant bins | 6 | \(\geq 4\)

#### 2.2.1.14 PTBP1, PTBP2, ROD1 (M227_0.6)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: non-random (3 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0.656 | \(\geq 0.4\)
polynomial degree | 1 | \(\geq 1\)
slope | 0.395 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 4e-07 | \(< 0.000005\)
number of significant bins | 5 | \(\geq 4\)

#### 2.2.1.15 ELAVL1, ELAVL3 (M127_0.6)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: non-random (3 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0.644 | \(\geq 0.4\)
polynomial degree | 1 | \(\geq 1\)
slope | 0.53 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 6e-07 | \(< 0.000005\)
number of significant bins | 6 | \(\geq 4\)

#### 2.2.1.16 ELAVL1, ELAVL3 (M112_0.6)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: non-random (3 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0.576 | \(\geq 0.4\)
polynomial degree | 1 | \(\geq 1\)
slope | 0.608 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 3e-07 | \(< 0.000005\)
number of significant bins | 5 | \(\geq 4\)

### 2.2.2 Possibly non-random

Motifs with possibly non-random enrichment pattern (2 out of 3 criteria met)

#### 2.2.2.1 ZFP36 (951_12324455)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (2 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0.7 | \(\geq 0.4\)
polynomial degree | 1 | \(\geq 1\)
slope | 0.548 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 8e-07 | \(< 0.000005\)
number of significant bins | 2 | \(\geq 4\)

#### 2.2.2.2 RBM41 (M051_0.6)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (2 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0.681 | \(\geq 0.4\)
polynomial degree | 1 | \(\geq 1\)
slope | 0.587 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 1.4e-06 | \(< 0.000005\)
number of significant bins | 1 | \(\geq 4\)

#### 2.2.2.3 ELAVL2 (782_8497264)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (2 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0.66 | \(\geq 0.4\)
polynomial degree | 1 | \(\geq 1\)
slope | 0.413 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 2e-07 | \(< 0.000005\)
number of significant bins | 3 | \(\geq 4\)

#### 2.2.2.4 SRSF9 (M065_0.6)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (2 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0.623 | \(\geq 0.4\)
polynomial degree | 1 | \(\geq 1\)
slope | -0.444 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 2.58e-05 | \(< 0.000005\)
number of significant bins | 4 | \(\geq 4\)

#### 2.2.2.5 SF3B4 (M201_0.6)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (2 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0.609 | \(\geq 0.4\)
polynomial degree | 1 | \(\geq 1\)
slope | 0.664 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 7.8e-06 | \(< 0.000005\)
number of significant bins | 6 | \(\geq 4\)

#### 2.2.2.6 SFRS13A (1169_19561594)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (2 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0.567 | \(\geq 0.4\)
polynomial degree | 1 | \(\geq 1\)
slope | -0.33 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 7.07e-05 | \(< 0.000005\)
number of significant bins | 4 | \(\geq 4\)

#### 2.2.2.7 KHDRBS1 (M160_0.6)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (2 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0.553 | \(\geq 0.4\)
polynomial degree | 1 | \(\geq 1\)
slope | 0.461 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 1.2e-06 | \(< 0.000005\)
number of significant bins | 2 | \(\geq 4\)

#### 2.2.2.8 HNRNPR, SYNCRIP (M236_0.6)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (2 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0.55 | \(\geq 0.4\)
polynomial degree | 1 | \(\geq 1\)
slope | 0.429 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 4.3e-06 | \(< 0.000005\)
number of significant bins | 3 | \(\geq 4\)

### 2.2.3 Random

Motifs with random enrichment pattern

#### 2.2.3.1 PCBP4, PCBP3, PCBP2 (M043_0.6)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (1 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0.729 | \(\geq 0.4\)
polynomial degree | 3 | \(\geq 1\)
slope | -0.695 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 3.74e-05 | \(< 0.000005\)
number of significant bins | 3 | \(\geq 4\)

#### 2.2.3.2 SFRS2 (953_7543047)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (1 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0.664 | \(\geq 0.4\)
polynomial degree | 2 | \(\geq 1\)
slope | -0.348 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.0001847 | \(< 0.000005\)
number of significant bins | 2 | \(\geq 4\)

#### 2.2.3.3 ZCRB1 (M085_0.6)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (1 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0.634 | \(\geq 0.4\)
polynomial degree | 1 | \(\geq 1\)
slope | 0.534 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 9.4e-06 | \(< 0.000005\)
number of significant bins | 1 | \(\geq 4\)

#### 2.2.3.4 SRSF1 (M106_0.6)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (1 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0.624 | \(\geq 0.4\)
polynomial degree | 1 | \(\geq 1\)
slope | -0.59 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.0010391 | \(< 0.000005\)
number of significant bins | 3 | \(\geq 4\)

#### 2.2.3.5 SFPQ, PSPC1 (M168_0.6)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (1 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0.616 | \(\geq 0.4\)
polynomial degree | 1 | \(\geq 1\)
slope | 0.313 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.0369926 | \(< 0.000005\)
number of significant bins | 0 | \(\geq 4\)

#### 2.2.3.6 SRSF1 (M102_0.6)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (1 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0.59 | \(\geq 0.4\)
polynomial degree | 1 | \(\geq 1\)
slope | -0.429 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 7.6e-06 | \(< 0.000005\)
number of significant bins | 3 | \(\geq 4\)

#### 2.2.3.7 ELAVL2 (784_7972035)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (1 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0.586 | \(\geq 0.4\)
polynomial degree | 1 | \(\geq 1\)
slope | 0.466 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.0001532 | \(< 0.000005\)
number of significant bins | 3 | \(\geq 4\)

#### 2.2.3.8 KHDRBS3 (1174_19561594)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (1 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0.582 | \(\geq 0.4\)
polynomial degree | 1 | \(\geq 1\)
slope | 0.419 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.000436 | \(< 0.000005\)
number of significant bins | 1 | \(\geq 4\)

#### 2.2.3.9 ELAVL2 (783_7972035)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (1 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0.581 | \(\geq 0.4\)
polynomial degree | 1 | \(\geq 1\)
slope | 0.494 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.0002826 | \(< 0.000005\)
number of significant bins | 2 | \(\geq 4\)

#### 2.2.3.10 hnRNPK (M026_0.6)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (1 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0.571 | \(\geq 0.4\)
polynomial degree | 1 | \(\geq 1\)
slope | -0.489 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.0019996 | \(< 0.000005\)
number of significant bins | 2 | \(\geq 4\)

#### 2.2.3.11 SRSF12, Fusip1, BX511012.1 (M086_0.6)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (1 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0.547 | \(\geq 0.4\)
polynomial degree | 1 | \(\geq 1\)
slope | -0.3 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.0002441 | \(< 0.000005\)
number of significant bins | 3 | \(\geq 4\)

#### 2.2.3.12 FMR1 (M016_0.6)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (1 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0.533 | \(\geq 0.4\)
polynomial degree | 1 | \(\geq 1\)
slope | -0.537 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.0041992 | \(< 0.000005\)
number of significant bins | 1 | \(\geq 4\)

#### 2.2.3.13 SRSF1 (M103_0.6)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (1 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0.522 | \(\geq 0.4\)
polynomial degree | 1 | \(\geq 1\)
slope | -0.52 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 9.67e-05 | \(< 0.000005\)
number of significant bins | 2 | \(\geq 4\)

#### 2.2.3.14 SFRS1 (242_7543047)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (1 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0.519 | \(\geq 0.4\)
polynomial degree | 1 | \(\geq 1\)
slope | -0.354 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.0006188 | \(< 0.000005\)
number of significant bins | 2 | \(\geq 4\)

#### 2.2.3.15 SRSF1 (M105_0.6)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (1 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0.513 | \(\geq 0.4\)
polynomial degree | 1 | \(\geq 1\)
slope | -0.536 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 9.14e-05 | \(< 0.000005\)
number of significant bins | 3 | \(\geq 4\)

#### 2.2.3.16 SRSF4, SRSF6 (M126_0.6)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (1 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0.513 | \(\geq 0.4\)
polynomial degree | 1 | \(\geq 1\)
slope | -0.536 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 7.12e-05 | \(< 0.000005\)
number of significant bins | 3 | \(\geq 4\)

#### 2.2.3.17 RBM5 (M145_0.6)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (1 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0.509 | \(\geq 0.4\)
polynomial degree | 1 | \(\geq 1\)
slope | -0.42 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.0825835 | \(< 0.000005\)
number of significant bins | 1 | \(\geq 4\)

#### 2.2.3.18 MSI1, MSI2 (M040_0.6)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (1 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0.498 | \(\geq 0.4\)
polynomial degree | 1 | \(\geq 1\)
slope | 0.401 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 8.04e-05 | \(< 0.000005\)
number of significant bins | 2 | \(\geq 4\)

#### 2.2.3.19 MSI1, MSI2 (M167_0.6)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (1 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0.498 | \(\geq 0.4\)
polynomial degree | 1 | \(\geq 1\)
slope | 0.401 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 5.04e-05 | \(< 0.000005\)
number of significant bins | 2 | \(\geq 4\)

#### 2.2.3.20 SRSF12, Fusip1, BX511012.1 (M087_0.6)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (1 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0.497 | \(\geq 0.4\)
polynomial degree | 1 | \(\geq 1\)
slope | -0.463 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.0003218 | \(< 0.000005\)
number of significant bins | 3 | \(\geq 4\)

#### 2.2.3.21 PCBP4, PCBP1, PCBP3 (M177_0.6)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (1 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0.494 | \(\geq 0.4\)
polynomial degree | 1 | \(\geq 1\)
slope | -0.268 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.0010054 | \(< 0.000005\)
number of significant bins | 1 | \(\geq 4\)

#### 2.2.3.22 SF3B4 (M195_0.6)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (1 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0.493 | \(\geq 0.4\)
polynomial degree | 1 | \(\geq 1\)
slope | 0.324 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.0001336 | \(< 0.000005\)
number of significant bins | 0 | \(\geq 4\)

#### 2.2.3.23 ENOX1, ENOX2 (M140_0.6)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (1 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0.486 | \(\geq 0.4\)
polynomial degree | 2 | \(\geq 1\)
slope | -0.405 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.004999 | \(< 0.000005\)
number of significant bins | 0 | \(\geq 4\)

#### 2.2.3.24 SRSF1 (M154_0.6)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (1 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0.485 | \(\geq 0.4\)
polynomial degree | 1 | \(\geq 1\)
slope | -0.565 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.0015997 | \(< 0.000005\)
number of significant bins | 2 | \(\geq 4\)

#### 2.2.3.25 RBM28 (M047_0.6)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (1 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0.458 | \(\geq 0.4\)
polynomial degree | 1 | \(\geq 1\)
slope | 0.387 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.0002059 | \(< 0.000005\)
number of significant bins | 0 | \(\geq 4\)

#### 2.2.3.26 SAMD4A, SAMD4B (M061_0.6)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (1 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0.441 | \(\geq 0.4\)
polynomial degree | 1 | \(\geq 1\)
slope | -0.563 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.0461908 | \(< 0.000005\)
number of significant bins | 0 | \(\geq 4\)

#### 2.2.3.27 A1CF (M001_0.6)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (1 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0.433 | \(\geq 0.4\)
polynomial degree | 1 | \(\geq 1\)
slope | 0.567 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.0053989 | \(< 0.000005\)
number of significant bins | 3 | \(\geq 4\)

#### 2.2.3.28 ZFP36 (221_12324455)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (1 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0.425 | \(\geq 0.4\)
polynomial degree | 1 | \(\geq 1\)
slope | 0.26 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 4.59e-05 | \(< 0.000005\)
number of significant bins | 1 | \(\geq 4\)

#### 2.2.3.29 MEX3C, MEX3D, MEX3B (M122_0.6)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (1 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0.413 | \(\geq 0.4\)
polynomial degree | 1 | \(\geq 1\)
slope | 0.377 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.0008653 | \(< 0.000005\)
number of significant bins | 1 | \(\geq 4\)

#### 2.2.3.30 LIN28A, LIN28B (M153_0.6)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (1 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0.407 | \(\geq 0.4\)
polynomial degree | 1 | \(\geq 1\)
slope | -0.563 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.1407718 | \(< 0.000005\)
number of significant bins | 0 | \(\geq 4\)

#### 2.2.3.31 HNRNPR, SYNCRIP (M243_0.6)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (0 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0.389 | \(\geq 0.4\)
polynomial degree | 1 | \(\geq 1\)
slope | 0.358 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.0007854 | \(< 0.000005\)
number of significant bins | 0 | \(\geq 4\)

#### 2.2.3.32 SRSF1 (M104_0.6)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (0 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0.389 | \(\geq 0.4\)
polynomial degree | 1 | \(\geq 1\)
slope | -0.445 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.0111978 | \(< 0.000005\)
number of significant bins | 2 | \(\geq 4\)

#### 2.2.3.33 CSDA (M260_0.6)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (1 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0.388 | \(\geq 0.4\)
polynomial degree | 1 | \(\geq 1\)
slope | -0.196 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 2.3e-06 | \(< 0.000005\)
number of significant bins | 1 | \(\geq 4\)

#### 2.2.3.34 RBM47 (M235_0.6)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (0 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0.375 | \(\geq 0.4\)
polynomial degree | 1 | \(\geq 1\)
slope | 0.302 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.0103979 | \(< 0.000005\)
number of significant bins | 1 | \(\geq 4\)

#### 2.2.3.35 PABPC5 (M162_0.6)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (0 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0.372 | \(\geq 0.4\)
polynomial degree | 1 | \(\geq 1\)
slope | 0.325 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.0083983 | \(< 0.000005\)
number of significant bins | 1 | \(\geq 4\)

#### 2.2.3.36 ELAVL3 (M124_0.6)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (0 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0.37 | \(\geq 0.4\)
polynomial degree | 1 | \(\geq 1\)
slope | 0.444 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.0001207 | \(< 0.000005\)
number of significant bins | 1 | \(\geq 4\)

#### 2.2.3.37 NOVA2 (680_9789075)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (0 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0.364 | \(\geq 0.4\)
polynomial degree | 1 | \(\geq 1\)
slope | -0.173 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.0841832 | \(< 0.000005\)
number of significant bins | 0 | \(\geq 4\)

#### 2.2.3.38 RBM5 (M053_0.6)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (0 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0.363 | \(\geq 0.4\)
polynomial degree | 1 | \(\geq 1\)
slope | -0.219 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.1929614 | \(< 0.000005\)
number of significant bins | 0 | \(\geq 4\)

#### 2.2.3.39 HNRNPR, SYNCRIP (M242_0.6)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (0 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0.35 | \(\geq 0.4\)
polynomial degree | 1 | \(\geq 1\)
slope | 0.276 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.0002922 | \(< 0.000005\)
number of significant bins | 1 | \(\geq 4\)

#### 2.2.3.40 SRSF2, ENSG00000180771 (M070_0.6)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (0 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0.35 | \(\geq 0.4\)
polynomial degree | 1 | \(\geq 1\)
slope | -0.199 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.0305939 | \(< 0.000005\)
number of significant bins | 1 | \(\geq 4\)

#### 2.2.3.41 SRSF12, Fusip1, BX511012.1 (M019_0.6)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (0 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0.348 | \(\geq 0.4\)
polynomial degree | 2 | \(\geq 1\)
slope | -0.187 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.274945 | \(< 0.000005\)
number of significant bins | 0 | \(\geq 4\)

#### 2.2.3.42 SART3 (M062_0.6)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (0 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0.343 | \(\geq 0.4\)
polynomial degree | 1 | \(\geq 1\)
slope | 0.341 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.0006986 | \(< 0.000005\)
number of significant bins | 1 | \(\geq 4\)

#### 2.2.3.43 PABPC1, PABPC1L, ENSG00000250177 (M146_0.6)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (0 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0.343 | \(\geq 0.4\)
polynomial degree | 1 | \(\geq 1\)
slope | 0.341 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.0008136 | \(< 0.000005\)
number of significant bins | 1 | \(\geq 4\)

#### 2.2.3.44 SRSF12, Fusip1, BX511012.1 (M088_0.6)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (0 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0.338 | \(\geq 0.4\)
polynomial degree | 1 | \(\geq 1\)
slope | -0.283 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.0183963 | \(< 0.000005\)
number of significant bins | 1 | \(\geq 4\)

#### 2.2.3.45 SRSF9 (M072_0.6)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (0 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0.338 | \(\geq 0.4\)
polynomial degree | 1 | \(\geq 1\)
slope | -0.368 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.1923615 | \(< 0.000005\)
number of significant bins | 1 | \(\geq 4\)

#### 2.2.3.46 HNRNPH2, HNRNPH1, HNRNPF (M151_0.6)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (0 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0.336 | \(\geq 0.4\)
polynomial degree | 1 | \(\geq 1\)
slope | -0.41 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.4537093 | \(< 0.000005\)
number of significant bins | 0 | \(\geq 4\)

#### 2.2.3.47 KHDRBS3 (M033_0.6)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (0 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0.329 | \(\geq 0.4\)
polynomial degree | 1 | \(\geq 1\)
slope | 0.257 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.0023995 | \(< 0.000005\)
number of significant bins | 0 | \(\geq 4\)

#### 2.2.3.48 CELF3 (M079_0.6)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (0 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0.318 | \(\geq 0.4\)
polynomial degree | 1 | \(\geq 1\)
slope | 0.398 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.0041992 | \(< 0.000005\)
number of significant bins | 0 | \(\geq 4\)

#### 2.2.3.49 ZRANB2 (1285_19304800)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (0 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0.31 | \(\geq 0.4\)
polynomial degree | 1 | \(\geq 1\)
slope | 0.578 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.1719656 | \(< 0.000005\)
number of significant bins | 0 | \(\geq 4\)

#### 2.2.3.50 SNRNP70 (M068_0.6)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (0 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0.303 | \(\geq 0.4\)
polynomial degree | 1 | \(\geq 1\)
slope | 0.254 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.0135973 | \(< 0.000005\)
number of significant bins | 0 | \(\geq 4\)

#### 2.2.3.51 PABPC4, PABPC1L, ENSG00000250177 (M042_0.6)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (0 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0.301 | \(\geq 0.4\)
polynomial degree | 1 | \(\geq 1\)
slope | 0.394 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.0019996 | \(< 0.000005\)
number of significant bins | 0 | \(\geq 4\)

#### 2.2.3.52 ZC3H10 (M083_0.6)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (0 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0.296 | \(\geq 0.4\)
polynomial degree | 1 | \(\geq 1\)
slope | -0.632 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.095181 | \(< 0.000005\)
number of significant bins | 0 | \(\geq 4\)

#### 2.2.3.53 RBM46, RBM47 (M052_0.6)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (0 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0.293 | \(\geq 0.4\)
polynomial degree | 1 | \(\geq 1\)
slope | 0.241 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.0017996 | \(< 0.000005\)
number of significant bins | 1 | \(\geq 4\)

#### 2.2.3.54 EIF4B (350_8846295)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (0 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0.291 | \(\geq 0.4\)
polynomial degree | 1 | \(\geq 1\)
slope | -0.239 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.1521696 | \(< 0.000005\)
number of significant bins | 0 | \(\geq 4\)

#### 2.2.3.55 ZNF638 (M155_0.6)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (0 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0.288 | \(\geq 0.4\)
polynomial degree | 1 | \(\geq 1\)
slope | 0.295 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.004799 | \(< 0.000005\)
number of significant bins | 0 | \(\geq 4\)

#### 2.2.3.56 KHDRBS2 (M176_0.6)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (0 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0.282 | \(\geq 0.4\)
polynomial degree | 1 | \(\geq 1\)
slope | 0.259 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.1219756 | \(< 0.000005\)
number of significant bins | 0 | \(\geq 4\)

#### 2.2.3.57 PTBP1 (1171_19561594)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (0 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0.282 | \(\geq 0.4\)
polynomial degree | 1 | \(\geq 1\)
slope | -0.057 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.0565887 | \(< 0.000005\)
number of significant bins | 0 | \(\geq 4\)

#### 2.2.3.58 PABPC1L, PABPC3 (M144_0.6)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (0 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0.27 | \(\geq 0.4\)
polynomial degree | 1 | \(\geq 1\)
slope | 0.247 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.059988 | \(< 0.000005\)
number of significant bins | 0 | \(\geq 4\)

#### 2.2.3.59 QKI (1215_16041388)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (0 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0.257 | \(\geq 0.4\)
polynomial degree | 1 | \(\geq 1\)
slope | 0.112 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.1433713 | \(< 0.000005\)
number of significant bins | 1 | \(\geq 4\)

#### 2.2.3.60 ESRP2, ESRP1 (M141_0.6)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (0 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0.255 | \(\geq 0.4\)
polynomial degree | 1 | \(\geq 1\)
slope | -0.274 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.0421916 | \(< 0.000005\)
number of significant bins | 1 | \(\geq 4\)

#### 2.2.3.61 HNRNPL, ENSG00000215042 (M089_0.6)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (0 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0.25 | \(\geq 0.4\)
polynomial degree | 1 | \(\geq 1\)
slope | -0.369 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.2619476 | \(< 0.000005\)
number of significant bins | 0 | \(\geq 4\)

#### 2.2.3.62 PCBP4, PCBP3 (M207_0.6)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (0 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0.245 | \(\geq 0.4\)
polynomial degree | 1 | \(\geq 1\)
slope | -0.235 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.1003799 | \(< 0.000005\)
number of significant bins | 0 | \(\geq 4\)

#### 2.2.3.63 FXR2 (M020_0.6)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (0 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0.242 | \(\geq 0.4\)
polynomial degree | 1 | \(\geq 1\)
slope | -0.351 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.0241952 | \(< 0.000005\)
number of significant bins | 0 | \(\geq 4\)

#### 2.2.3.64 ANKHD1, ANKRD17, ENSG00000249536 (M002_0.6)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (0 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0 | \(\geq 0.4\)
polynomial degree | 0 | \(\geq 1\)
slope | 0 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.6816637 | \(< 0.000005\)
number of significant bins | 0 | \(\geq 4\)

#### 2.2.3.65 BRUNOL4, CELF3 (M004_0.6)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (0 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0 | \(\geq 0.4\)
polynomial degree | 0 | \(\geq 1\)
slope | 0 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.2987403 | \(< 0.000005\)
number of significant bins | 0 | \(\geq 4\)

#### 2.2.3.66 DAZAP1 (M013_0.6)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (0 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0 | \(\geq 0.4\)
polynomial degree | 0 | \(\geq 1\)
slope | 0 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.0719856 | \(< 0.000005\)
number of significant bins | 0 | \(\geq 4\)

#### 2.2.3.67 RBFOX2, RBFOX3 (M017_0.6)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (0 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0 | \(\geq 0.4\)
polynomial degree | 0 | \(\geq 1\)
slope | 0 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.630074 | \(< 0.000005\)
number of significant bins | 0 | \(\geq 4\)

#### 2.2.3.68 G3BP2 (M021_0.6)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (0 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0 | \(\geq 0.4\)
polynomial degree | 0 | \(\geq 1\)
slope | 0 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.3621276 | \(< 0.000005\)
number of significant bins | 0 | \(\geq 4\)

#### 2.2.3.69 HNRNPA1, HNRNPA3, ENSG00000215492, ENSG00000231942 (M022_0.6)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (0 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0 | \(\geq 0.4\)
polynomial degree | 0 | \(\geq 1\)
slope | 0 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.7688462 | \(< 0.000005\)
number of significant bins | 0 | \(\geq 4\)

#### 2.2.3.70 HNRNPA1L2, HNRNPA3, ENSG00000215492, ENSG00000231942 (M023_0.6)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (0 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0 | \(\geq 0.4\)
polynomial degree | 0 | \(\geq 1\)
slope | 0 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.2095581 | \(< 0.000005\)
number of significant bins | 0 | \(\geq 4\)

#### 2.2.3.71 HNRNPA2B1, HNRNPA3, ENSG00000215492 (M024_0.6)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (0 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0 | \(\geq 0.4\)
polynomial degree | 0 | \(\geq 1\)
slope | 0 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.7692462 | \(< 0.000005\)
number of significant bins | 0 | \(\geq 4\)

#### 2.2.3.72 HNRNPL, ENSG00000215042 (M027_0.6)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (0 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0 | \(\geq 0.4\)
polynomial degree | 0 | \(\geq 1\)
slope | 0 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.6772645 | \(< 0.000005\)
number of significant bins | 0 | \(\geq 4\)

#### 2.2.3.73 IGF2BP2 (M032_0.6)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (0 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0 | \(\geq 0.4\)
polynomial degree | 0 | \(\geq 1\)
slope | 0 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.0004426 | \(< 0.000005\)
number of significant bins | 0 | \(\geq 4\)

#### 2.2.3.74 LIN28A, LIN28B (M035_0.6)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (0 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0 | \(\geq 0.4\)
polynomial degree | 0 | \(\geq 1\)
slope | 0 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.5372925 | \(< 0.000005\)
number of significant bins | 0 | \(\geq 4\)

#### 2.2.3.75 MATR3 (M036_0.6)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (0 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0 | \(\geq 0.4\)
polynomial degree | 0 | \(\geq 1\)
slope | 0 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.2719456 | \(< 0.000005\)
number of significant bins | 0 | \(\geq 4\)

#### 2.2.3.76 MBNL3, MBNL2, MBNL1 (M037_0.6)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (0 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0 | \(\geq 0.4\)
polynomial degree | 0 | \(\geq 1\)
slope | 0 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.6474705 | \(< 0.000005\)
number of significant bins | 0 | \(\geq 4\)

#### 2.2.3.77 PPRC1 (M044_0.6)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (0 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0 | \(\geq 0.4\)
polynomial degree | 0 | \(\geq 1\)
slope | 0 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.2979404 | \(< 0.000005\)
number of significant bins | 0 | \(\geq 4\)

#### 2.2.3.78 QKI (M046_0.6)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (0 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0 | \(\geq 0.4\)
polynomial degree | 0 | \(\geq 1\)
slope | 0 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.6596681 | \(< 0.000005\)
number of significant bins | 0 | \(\geq 4\)

#### 2.2.3.79 CIRBP, RBM3 (M048_0.6)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (0 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0 | \(\geq 0.4\)
polynomial degree | 0 | \(\geq 1\)
slope | 0 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.5162967 | \(< 0.000005\)
number of significant bins | 0 | \(\geq 4\)

#### 2.2.3.80 RBM38 (M049_0.6)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (0 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0 | \(\geq 0.4\)
polynomial degree | 0 | \(\geq 1\)
slope | 0 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.1671666 | \(< 0.000005\)
number of significant bins | 0 | \(\geq 4\)

#### 2.2.3.81 RBM4B, RBM4, RBM4 (M050_0.6)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (0 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0 | \(\geq 0.4\)
polynomial degree | 0 | \(\geq 1\)
slope | 0 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.6464707 | \(< 0.000005\)
number of significant bins | 0 | \(\geq 4\)

#### 2.2.3.82 RBM8A (M054_0.6)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (0 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0 | \(\geq 0.4\)
polynomial degree | 0 | \(\geq 1\)
slope | 0 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.5826835 | \(< 0.000005\)
number of significant bins | 0 | \(\geq 4\)

#### 2.2.3.83 RBMS2, RBMS3, ENSG00000213250 (M055_0.6)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (0 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0 | \(\geq 0.4\)
polynomial degree | 0 | \(\geq 1\)
slope | 0 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.0973805 | \(< 0.000005\)
number of significant bins | 0 | \(\geq 4\)

#### 2.2.3.84 SRSF3 (M056_0.6)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (0 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0 | \(\geq 0.4\)
polynomial degree | 0 | \(\geq 1\)
slope | 0 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.2275545 | \(< 0.000005\)
number of significant bins | 0 | \(\geq 4\)

#### 2.2.3.85 SNRPA, SNRPB2 (M069_0.6)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (0 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0 | \(\geq 0.4\)
polynomial degree | 0 | \(\geq 1\)
slope | 0 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.0073985 | \(< 0.000005\)
number of significant bins | 1 | \(\geq 4\)

#### 2.2.3.86 SRSF7 (M071_0.6)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (0 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0 | \(\geq 0.4\)
polynomial degree | 0 | \(\geq 1\)
slope | 0 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.7362527 | \(< 0.000005\)
number of significant bins | 0 | \(\geq 4\)

#### 2.2.3.87 STAR-PAP (M073_0.6)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (0 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0 | \(\geq 0.4\)
polynomial degree | 0 | \(\geq 1\)
slope | 0 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.1895621 | \(< 0.000005\)
number of significant bins | 0 | \(\geq 4\)

#### 2.2.3.88 TARDBP (M074_0.6)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (0 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0 | \(\geq 0.4\)
polynomial degree | 0 | \(\geq 1\)
slope | 0 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.4791042 | \(< 0.000005\)
number of significant bins | 0 | \(\geq 4\)

#### 2.2.3.89 CSDA, YB-1 (M081_0.6)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (0 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0 | \(\geq 0.4\)
polynomial degree | 0 | \(\geq 1\)
slope | 0 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.6666667 | \(< 0.000005\)
number of significant bins | 1 | \(\geq 4\)

#### 2.2.3.90 YBX2, CSDA (M082_0.6)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (0 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0 | \(\geq 0.4\)
polynomial degree | 0 | \(\geq 1\)
slope | 0 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.445111 | \(< 0.000005\)
number of significant bins | 0 | \(\geq 4\)

#### 2.2.3.91 RBM4B, RBM4, RBM4 (M109_0.6)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (0 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0 | \(\geq 0.4\)
polynomial degree | 0 | \(\geq 1\)
slope | 0 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.305139 | \(< 0.000005\)
number of significant bins | 0 | \(\geq 4\)

#### 2.2.3.92 CSDA, YB-1 (M111_0.6)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (0 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0 | \(\geq 0.4\)
polynomial degree | 0 | \(\geq 1\)
slope | 0 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.0785843 | \(< 0.000005\)
number of significant bins | 0 | \(\geq 4\)

#### 2.2.3.93 RBFOX2, RBFOX3 (M118_0.6)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (0 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0 | \(\geq 0.4\)
polynomial degree | 0 | \(\geq 1\)
slope | 0 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.6552689 | \(< 0.000005\)
number of significant bins | 1 | \(\geq 4\)

#### 2.2.3.94 SRSF3 (M121_0.6)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (0 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0 | \(\geq 0.4\)
polynomial degree | 0 | \(\geq 1\)
slope | 0 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.0805839 | \(< 0.000005\)
number of significant bins | 0 | \(\geq 4\)

#### 2.2.3.95 SNRPB2 (M136_0.6)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (0 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0 | \(\geq 0.4\)
polynomial degree | 0 | \(\geq 1\)
slope | 0 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.0089982 | \(< 0.000005\)
number of significant bins | 0 | \(\geq 4\)

#### 2.2.3.96 RBM42 (M142_0.6)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (0 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0 | \(\geq 0.4\)
polynomial degree | 0 | \(\geq 1\)
slope | 0 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.2947411 | \(< 0.000005\)
number of significant bins | 0 | \(\geq 4\)

#### 2.2.3.97 RBMS2, RBMS1, ENSG00000213250 (M143_0.6)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (0 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0 | \(\geq 0.4\)
polynomial degree | 0 | \(\geq 1\)
slope | 0 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.1791642 | \(< 0.000005\)
number of significant bins | 0 | \(\geq 4\)

#### 2.2.3.98 CNOT4 (M147_0.6)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (0 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0 | \(\geq 0.4\)
polynomial degree | 0 | \(\geq 1\)
slope | 0 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.2515497 | \(< 0.000005\)
number of significant bins | 0 | \(\geq 4\)

#### 2.2.3.99 PABPN1, PABPN1L (M148_0.6)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (0 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0 | \(\geq 0.4\)
polynomial degree | 0 | \(\geq 1\)
slope | 0 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.1271746 | \(< 0.000005\)
number of significant bins | 0 | \(\geq 4\)

#### 2.2.3.100 FXR1 (M152_0.6)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (0 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0 | \(\geq 0.4\)
polynomial degree | 0 | \(\geq 1\)
slope | 0 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.8936213 | \(< 0.000005\)
number of significant bins | 0 | \(\geq 4\)

#### 2.2.3.101 CELF3, BRUNOL5 (M157_0.6)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (0 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0 | \(\geq 0.4\)
polynomial degree | 0 | \(\geq 1\)
slope | 0 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.2955409 | \(< 0.000005\)
number of significant bins | 0 | \(\geq 4\)

#### 2.2.3.102 A2BP1, RBFOX2, RBFOX3 (M159_0.6)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (0 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0 | \(\geq 0.4\)
polynomial degree | 0 | \(\geq 1\)
slope | 0 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.6320736 | \(< 0.000005\)
number of significant bins | 0 | \(\geq 4\)

#### 2.2.3.103 RBM6 (M161_0.6)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (0 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0 | \(\geq 0.4\)
polynomial degree | 0 | \(\geq 1\)
slope | 0 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.0037992 | \(< 0.000005\)
number of significant bins | 0 | \(\geq 4\)

#### 2.2.3.104 IGF2BP3 (M163_0.6)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (0 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0 | \(\geq 0.4\)
polynomial degree | 0 | \(\geq 1\)
slope | 0 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.0487902 | \(< 0.000005\)
number of significant bins | 1 | \(\geq 4\)

#### 2.2.3.105 RBMS2, RBMS3, ENSG00000213250 (M164_0.6)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (0 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0 | \(\geq 0.4\)
polynomial degree | 0 | \(\geq 1\)
slope | 0 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.010198 | \(< 0.000005\)
number of significant bins | 0 | \(\geq 4\)

#### 2.2.3.106 hnRNPLL (M169_0.6)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (0 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0 | \(\geq 0.4\)
polynomial degree | 0 | \(\geq 1\)
slope | 0 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.1033793 | \(< 0.000005\)
number of significant bins | 0 | \(\geq 4\)

#### 2.2.3.107 RBM38 (M170_0.6)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (0 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0 | \(\geq 0.4\)
polynomial degree | 0 | \(\geq 1\)
slope | 0 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.480104 | \(< 0.000005\)
number of significant bins | 1 | \(\geq 4\)

#### 2.2.3.108 RBM24, RBM38 (M175_0.6)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (0 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0 | \(\geq 0.4\)
polynomial degree | 0 | \(\geq 1\)
slope | 0 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.9812038 | \(< 0.000005\)
number of significant bins | 0 | \(\geq 4\)

#### 2.2.3.109 BRUNOL6, CELF3 (M178_0.6)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (0 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0 | \(\geq 0.4\)
polynomial degree | 0 | \(\geq 1\)
slope | 0 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.4159168 | \(< 0.000005\)
number of significant bins | 0 | \(\geq 4\)

#### 2.2.3.110 PCBP4, PCBP3 (M188_0.6)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (0 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0 | \(\geq 0.4\)
polynomial degree | 0 | \(\geq 1\)
slope | 0 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.2007598 | \(< 0.000005\)
number of significant bins | 0 | \(\geq 4\)

#### 2.2.3.111 SF3B4 (M205_0.6)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (0 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0 | \(\geq 0.4\)
polynomial degree | 0 | \(\geq 1\)
slope | 0 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.6220756 | \(< 0.000005\)
number of significant bins | 0 | \(\geq 4\)

#### 2.2.3.112 RBM45 (M209_0.6)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (0 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0 | \(\geq 0.4\)
polynomial degree | 0 | \(\geq 1\)
slope | 0 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.364927 | \(< 0.000005\)
number of significant bins | 0 | \(\geq 4\)

#### 2.2.3.113 HNRPDL (M210_0.6)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (0 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0 | \(\geq 0.4\)
polynomial degree | 0 | \(\geq 1\)
slope | 0 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.1843631 | \(< 0.000005\)
number of significant bins | 0 | \(\geq 4\)

#### 2.2.3.114 PCBP4, PCBP3 (M211_0.6)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (0 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0 | \(\geq 0.4\)
polynomial degree | 0 | \(\geq 1\)
slope | 0 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.5356929 | \(< 0.000005\)
number of significant bins | 0 | \(\geq 4\)

#### 2.2.3.115 CELF3 (M229_0.6)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (0 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0 | \(\geq 0.4\)
polynomial degree | 0 | \(\geq 1\)
slope | 0 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.2439512 | \(< 0.000005\)
number of significant bins | 0 | \(\geq 4\)

#### 2.2.3.116 EIF2S1 (M231_0.6)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (0 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0 | \(\geq 0.4\)
polynomial degree | 0 | \(\geq 1\)
slope | 0 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.6322735 | \(< 0.000005\)
number of significant bins | 0 | \(\geq 4\)

#### 2.2.3.117 RBM47 (M234_0.6)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (0 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0 | \(\geq 0.4\)
polynomial degree | 0 | \(\geq 1\)
slope | 0 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.0545891 | \(< 0.000005\)
number of significant bins | 1 | \(\geq 4\)

#### 2.2.3.118 RBM38 (M238_0.6)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (0 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0 | \(\geq 0.4\)
polynomial degree | 0 | \(\geq 1\)
slope | 0 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.915217 | \(< 0.000005\)
number of significant bins | 0 | \(\geq 4\)

#### 2.2.3.119 RBM38 (M240_0.6)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (0 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0 | \(\geq 0.4\)
polynomial degree | 0 | \(\geq 1\)
slope | 0 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.6220756 | \(< 0.000005\)
number of significant bins | 0 | \(\geq 4\)

#### 2.2.3.120 CSDA (M250_0.6)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (0 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0 | \(\geq 0.4\)
polynomial degree | 0 | \(\geq 1\)
slope | 0 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.5414917 | \(< 0.000005\)
number of significant bins | 0 | \(\geq 4\)

#### 2.2.3.121 CSDA (M254_0.6)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (0 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0 | \(\geq 0.4\)
polynomial degree | 0 | \(\geq 1\)
slope | 0 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.390122 | \(< 0.000005\)
number of significant bins | 0 | \(\geq 4\)

#### 2.2.3.122 SF3B4 (M261_0.6)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (0 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0 | \(\geq 0.4\)
polynomial degree | 0 | \(\geq 1\)
slope | 0 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.9518096 | \(< 0.000005\)
number of significant bins | 0 | \(\geq 4\)

#### 2.2.3.123 SRSF4, SRSF6 (M334_0.6)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (0 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0 | \(\geq 0.4\)
polynomial degree | 0 | \(\geq 1\)
slope | 0 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.6466707 | \(< 0.000005\)
number of significant bins | 0 | \(\geq 4\)

#### 2.2.3.124 NCL (1004_8676391)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (0 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0 | \(\geq 0.4\)
polynomial degree | 0 | \(\geq 1\)
slope | 0 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.2937413 | \(< 0.000005\)
number of significant bins | 0 | \(\geq 4\)

#### 2.2.3.125 SNRPA (1175_19561594)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (0 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0 | \(\geq 0.4\)
polynomial degree | 0 | \(\geq 1\)
slope | 0 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.1091782 | \(< 0.000005\)
number of significant bins | 0 | \(\geq 4\)

#### 2.2.3.126 YBX1 (1177_19561594)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (0 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0 | \(\geq 0.4\)
polynomial degree | 0 | \(\geq 1\)
slope | 0 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.0765847 | \(< 0.000005\)
number of significant bins | 1 | \(\geq 4\)

#### 2.2.3.127 ACO1 (1213_8021254)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (0 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0 | \(\geq 0.4\)
polynomial degree | 0 | \(\geq 1\)
slope | 0 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.1133773 | \(< 0.000005\)
number of significant bins | 0 | \(\geq 4\)

#### 2.2.3.128 KHDRBS3 (1216_19457263)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (0 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0 | \(\geq 0.4\)
polynomial degree | 0 | \(\geq 1\)
slope | 0 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.6496701 | \(< 0.000005\)
number of significant bins | 0 | \(\geq 4\)

#### 2.2.3.129 KHDRBS3 (147_19457263)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (0 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0 | \(\geq 0.4\)
polynomial degree | 0 | \(\geq 1\)
slope | 0 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.2425515 | \(< 0.000005\)
number of significant bins | 0 | \(\geq 4\)

#### 2.2.3.130 QKI (149_16041388)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (0 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0 | \(\geq 0.4\)
polynomial degree | 0 | \(\geq 1\)
slope | 0 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.5842831 | \(< 0.000005\)
number of significant bins | 0 | \(\geq 4\)

#### 2.2.3.131 HNRNPA1 (23_7510636)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (0 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0 | \(\geq 0.4\)
polynomial degree | 0 | \(\geq 1\)
slope | 0 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.1977604 | \(< 0.000005\)
number of significant bins | 0 | \(\geq 4\)

#### 2.2.3.132 SFRS1 (243_7543047)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (0 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0 | \(\geq 0.4\)
polynomial degree | 0 | \(\geq 1\)
slope | 0 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.745051 | \(< 0.000005\)
number of significant bins | 0 | \(\geq 4\)

#### 2.2.3.133 SFRS2 (244_7543047)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (0 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0 | \(\geq 0.4\)
polynomial degree | 0 | \(\geq 1\)
slope | 0 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.0241952 | \(< 0.000005\)
number of significant bins | 0 | \(\geq 4\)

#### 2.2.3.134 EIF4B (351_8846295)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (0 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0 | \(\geq 0.4\)
polynomial degree | 0 | \(\geq 1\)
slope | 0 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.3427315 | \(< 0.000005\)
number of significant bins | 0 | \(\geq 4\)

#### 2.2.3.135 IGF2BP1 (359_12507992)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (0 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0 | \(\geq 0.4\)
polynomial degree | 0 | \(\geq 1\)
slope | 0 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.235153 | \(< 0.000005\)
number of significant bins | 0 | \(\geq 4\)

#### 2.2.3.136 A2BP1 (37_16537540)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (0 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0 | \(\geq 0.4\)
polynomial degree | 0 | \(\geq 1\)
slope | 0 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.1365727 | \(< 0.000005\)
number of significant bins | 0 | \(\geq 4\)

#### 2.2.3.137 SNRPA (661_1717938)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (0 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0 | \(\geq 0.4\)
polynomial degree | 0 | \(\geq 1\)
slope | 0 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.3169366 | \(< 0.000005\)
number of significant bins | 0 | \(\geq 4\)

#### 2.2.3.138 SNRPA (662_1717938)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (0 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0 | \(\geq 0.4\)
polynomial degree | 0 | \(\geq 1\)
slope | 0 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.2541492 | \(< 0.000005\)
number of significant bins | 0 | \(\geq 4\)

#### 2.2.3.139 SNRPA (663_1717938)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (0 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0 | \(\geq 0.4\)
polynomial degree | 0 | \(\geq 1\)
slope | 0 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.2671466 | \(< 0.000005\)
number of significant bins | 0 | \(\geq 4\)

#### 2.2.3.140 NOVA2 (682_10811881)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (0 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0 | \(\geq 0.4\)
polynomial degree | 0 | \(\geq 1\)
slope | 0 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.034993 | \(< 0.000005\)
number of significant bins | 0 | \(\geq 4\)

#### 2.2.3.141 SFRS7 (790_10094314)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (0 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0 | \(\geq 0.4\)
polynomial degree | 0 | \(\geq 1\)
slope | 0 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.804839 | \(< 0.000005\)
number of significant bins | 0 | \(\geq 4\)

#### 2.2.3.142 SFRS2 (791_10094314)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (0 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0 | \(\geq 0.4\)
polynomial degree | 0 | \(\geq 1\)
slope | 0 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.2439512 | \(< 0.000005\)
number of significant bins | 0 | \(\geq 4\)

#### 2.2.3.143 SNRPA (946_10094314)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (0 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0 | \(\geq 0.4\)
polynomial degree | 0 | \(\geq 1\)
slope | 0 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.6538692 | \(< 0.000005\)
number of significant bins | 0 | \(\geq 4\)

#### 2.2.3.144 SNRPA (947_10094314)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (0 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0 | \(\geq 0.4\)
polynomial degree | 0 | \(\geq 1\)
slope | 0 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.2557489 | \(< 0.000005\)
number of significant bins | 0 | \(\geq 4\)

#### 2.2.3.145 SNRPA (948_10094314)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (0 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0 | \(\geq 0.4\)
polynomial degree | 0 | \(\geq 1\)
slope | 0 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.8592282 | \(< 0.000005\)
number of significant bins | 0 | \(\geq 4\)

#### 2.2.3.146 SNRPA (949_10094314)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (0 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0 | \(\geq 0.4\)
polynomial degree | 0 | \(\geq 1\)
slope | 0 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.3831234 | \(< 0.000005\)
number of significant bins | 0 | \(\geq 4\)

#### 2.2.3.147 PABPC1 (950_7908267)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (0 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0 | \(\geq 0.4\)
polynomial degree | 0 | \(\geq 1\)
slope | 0 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.4635073 | \(< 0.000005\)
number of significant bins | 0 | \(\geq 4\)

#### 2.2.3.148 SFRS1 (952_7543047)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (0 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0 | \(\geq 0.4\)
polynomial degree | 0 | \(\geq 1\)
slope | 0 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.0821836 | \(< 0.000005\)
number of significant bins | 0 | \(\geq 4\)

#### 2.2.3.149 SFRS7 (954_10094314)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (0 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0 | \(\geq 0.4\)
polynomial degree | 0 | \(\geq 1\)
slope | 0 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.3447311 | \(< 0.000005\)
number of significant bins | 0 | \(\geq 4\)

#### 2.2.3.150 YTHDC1 (969_20167602)

Spectrum plot with polynomial regression:

Classification:

spectrum classification: random (0 out of 3 criteria met)

Property | Value | Threshold
--- | --- | ---
adjusted \(R^2\) | 0 | \(\geq 0.4\)
polynomial degree | 0 | \(\geq 1\)
slope | 0 | \(\neq 0\)
unadjusted p-value estimate of consistency score | 0.1909618 | \(< 0.000005\)
number of significant bins | 0 | \(\geq 4\)

# 3 Download data

Download input data

Download output data

Download full HTML report

Download plots only

# 4 Session info

## 4.1 Loaded motifs

## 4.2 R Session info

    ## R version 3.4.4 (2018-03-15)
    ## Platform: x86_64-pc-linux-gnu (64-bit)
    ## Running under: Ubuntu 16.04.4 LTS
    ##
    ## Matrix products: default
    ## BLAS: /usr/lib/libblas/libblas.so.3.6.0
    ## LAPACK: /usr/lib/lapack/liblapack.so.3.6.0
    ##
    ## locale:
    ##  [1] LC_CTYPE=en_US.UTF-8       LC_NUMERIC=C
    ##  [3] LC_TIME=en_US.UTF-8        LC_COLLATE=en_US.UTF-8
    ##  [5] LC_MONETARY=en_US.UTF-8    LC_MESSAGES=en_US.UTF-8
    ##  [7] LC_PAPER=en_US.UTF-8       LC_NAME=C
    ##  [9] LC_ADDRESS=C               LC_TELEPHONE=C
    ## [11] LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C
    ##
    ## attached base packages:
    ## [1] parallel  stats4    methods   stats     graphics  grDevices utils
    ## [8] datasets  base
    ##
    ## other attached packages:
    ##  [1] bindrcpp_0.2.2       transite_0.99.3      DT_0.4
    ##  [4] knitr_1.20           AnnotationDbi_1.40.0 IRanges_2.12.0
    ##  [7] S4Vectors_0.16.0     Biobase_2.38.0       BiocGenerics_0.24.0
    ## [10] rmarkdown_1.9        futile.logger_1.4.3
    ##
    ## loaded via a namespace (and not attached):
    ##  [1] httr_1.3.1
    ##  [2] RMySQL_0.10.15
    ##  [3] bit64_0.9-7
    ##  [4] jsonlite_1.5
    ##  [5] shiny_1.1.0
    ##  [6] assertthat_0.2.0
    ##  [7] blob_1.1.1
    ##  [8] Rsamtools_1.30.0
    ##  [9] GenomeInfoDbData_1.0.0
    ## [10] yaml_2.1.19
    ## [11] progress_1.1.2
    ## [12] lattice_0.20-35
    ## [13] pillar_1.2.3
    ## [14] RSQLite_2.1.1
    ## [15] backports_1.1.2
    ## [16] glue_1.2.0
    ## [17] digest_0.6.15
    ## [18] GenomicRanges_1.30.3
    ## [19] promises_1.0.1
    ## [20] XVector_0.18.0
    ## [21] colorspace_1.3-2
    ## [22] Matrix_1.2-14
    ## [23] htmltools_0.3.6
    ## [24] httpuv_1.4.3
    ## [25] plyr_1.8.4
    ## [26] TxDb.Hsapiens.UCSC.hg38.knownGene_3.4.0
    ## [27] XML_3.98-1.11
    ## [28] pkgconfig_2.0.1
    ## [29] biomaRt_2.34.2
    ## [30] zlibbioc_1.24.0
    ## [31] purrr_0.2.4
    ## [32] xtable_1.8-2
    ## [33] scales_0.5.0
    ## [34] later_0.7.2
    ## [35] BiocParallel_1.12.0
    ## [36] tibble_1.4.2
    ## [37] ggplot2_2.2.1
    ## [38] SummarizedExperiment_1.8.1
    ## [39] GenomicFeatures_1.30.3
    ## [40] TFMPvalue_0.0.8
    ## [41] lazyeval_0.2.1
    ## [42] magrittr_1.5
    ## [43] mime_0.5
    ## [44] memoise_1.1.0
    ## [45] evaluate_0.10.1
    ## [46] tools_3.4.4
    ## [47] prettyunits_1.0.2
    ## [48] org.Hs.eg.db_3.5.0
    ## [49] matrixStats_0.53.1
    ## [50] formatR_1.5
    ## [51] stringr_1.3.1
    ## [52] munsell_0.4.3
    ## [53] DelayedArray_0.4.1
    ## [54] lambda.r_1.2.3
    ## [55] Biostrings_2.46.0
    ## [56] compiler_3.4.4
    ## [57] GenomeInfoDb_1.14.0
    ## [58] rlang_0.2.0
    ## [59] grid_3.4.4
    ## [60] RCurl_1.95-4.10
    ## [61] htmlwidgets_1.2
    ## [62] crosstalk_1.0.0
    ## [63] labeling_0.3
    ## [64] bitops_1.0-6
    ## [65] gtable_0.2.0
    ## [66] DBI_1.0.0
    ## [67] R6_2.2.2
    ## [68] GenomicAlignments_1.14.2
    ## [69] gridExtra_2.3
    ## [70] rtracklayer_1.38.3
    ## [71] dplyr_0.7.5
    ## [72] bit_1.1-13
    ## [73] bindr_0.1.1
    ## [74] rprojroot_1.3-2
    ## [75] futile.options_1.0.1
    ## [76] stringi_1.2.2
    ## [77] Rcpp_0.12.17
    ## [78] dbplyr_1.2.1
    ## [79] tidyselect_0.2.4