All functions

aggregateSignal()

Score a region set using feature contribution scores

aggregateSignalGRList()

Score many region sets

atf3_chr1

Atf3 binding regions.

brcaATACCoord1

A GRanges object with coordinates for select BRCA ATAC-seq peak regions from chr1.

brcaATACData1

A matrix with ATAC-seq counts in select peak regions from chromosome 1 for 37 patients.

brcaMCoord1

A GRanges object with genomic coordinates for cytosines from chr1 for the package's built-in DNA methylation data

brcaMetadata

A data.frame with patient metadata for breast cancer patients.

brcaMethylData1

A matrix with DNA methylation levels from some CpGs on chromosome 1

brcaPCScores

A matrix with principal component scores for PCs 1-4 for four breast cancer patients.

brcaPCScores657

A data.frame with principal component scores for PCs 1-4 for 657 breast cancer patients as well as a column with estrogen receptor status.

COCOA

Coordinate Covariation Analysis (COCOA)

convertToFromNullDist()

Converts COCOA permutation results to null distributions and vice versa

esr1_chr1

Estrogen receptor alpha binding regions.

gata3_chr1

Gata3 binding regions.

getGammaPVal()

Get a p-value for region set scores based on a gamma distribution.

getMetaRegionProfile()

Create a "meta-region" profile

getPermStat()

Get p-value or z-score based on permutation results

getTopRegions()

Get regions that are most associated with target variable

nrf1_chr1

Nrf1 binding regions.

plotAnnoScoreDist()

Plot ranked region set scores, annotating groups of interest

regionQuantileByTargetVar()

Visualize how individual regions are associated with target variable

rsRankingIndex()

Get indices for top scored region sets

rsScoreHeatmap()

Heatmap of region set scores

rsScores

Example COCOA Results (made up)

runCOCOA()

Run COCOA: quantify inter-sample variation, score region sets

runCOCOAPerm()

Run COCOA permutations to get p-values

signalAlongAxis()

Visualize how genomic signal in a region set changes along a given axis