pval_heatmap {multiHiCcompare} | R Documentation

## 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)

[Package multiHiCcompare version 1.2.0 Index]