pval_heatmap: Function to visualize p-values from multiHiCcompare results

In dozmorovlab/multiHiCcompare: Normalize and detect differences between Hi-C datasets when replicates of each experimental condition are available

Function to visualize p-values from multiHiCcompare results

Description

Function to visualize p-values from multiHiCcompare results

Usage

pval_heatmap(hicexp, alpha = NA, chr = 0)

Arguments

hicexp	A hicexp object that has been normalized and has had differences detected.
alpha	The alpha level at which you will call a p-value significant. If this is set to a numeric value then any p-values >= alpha will be set to 1 for the visualization in the heatmap. Defaults to NA for visualization of all p-values.
chr	The numeric value for the chromosome that you want to plot. Set to 0 to plot all chromosomes in the dataset.

Details

The goal of this function is to visualize where in the Hi-C matrix the differences are occuring between two experimental conditions. The function will produce a heatmap of the -log10(p-values) * sign(logFC) to visualize where the significant differences between the datasets are occuring on the genome.

Value

A heatmap

Examples

data("hicexp_diff")
pval_heatmap(hicexp_diff, chr = 22)

dozmorovlab/multiHiCcompare documentation built on April 23, 2022, 9:56 a.m.