getCorMatrix: Calculate Pearson correlations of a binned matrix

In JordanVeldboom/compartmap: A/B compartment inference from ATAC-seq and methylation array data

Description

This function is used to generate a list object to be passed to getABSignal

Usage

getCorMatrix(binmat, squeeze = FALSE)

Arguments

binmat	A binned matrix list object from getBinMatrix
squeeze	Whether to squeeze the matrix for Fisher's Z transformation

Value

A list object to pass to getABSignal

Examples

library(GenomicRanges)
library(Homo.sapiens)

#Generate random genomic intervals of 1-1000 bp on chr1-22
#Modified from https://www.biostars.org/p/225520/
random_genomic_int <- data.frame(chr = rep("chr14", 100))
random_genomic_int$start <- apply(random_genomic_int, 1, function(x) { round(runif(1, 0, getSeqLengths(chr = x)[[1]]), 0) })
random_genomic_int$end <- random_genomic_int$start + runif(1, 1, 1000)
random_genomic_int$strand <- "*"

#Generate random counts
counts <- rnbinom(1000, 1.2, 0.4)

#Build random counts for 10 samples
count.mat <- matrix(sample(counts, nrow(random_genomic_int) * 10, replace = FALSE), ncol = 10)
colnames(count.mat) <- paste0("sample_", seq(1:10))

#Bin counts
bin.counts <- getBinMatrix(count.mat, makeGRangesFromDataFrame(random_genomic_int), chr = "chr14", genome = "hg19")

#Calculate correlations
bin.cor.counts <- getCorMatrix(bin.counts)

JordanVeldboom/compartmap documentation built on July 3, 2020, 6:32 p.m.