correlation_coefficient_heatmap: Create a correlation coefficient heatmap figure.

In steveneschrich/CLIApet: CLIA Performance Evaluation Toolkit: An R Library For Supporting Gene Expression Based CLIA Validation Studies

Description

This function creates a heatmap using ComplexHeatmap to show the correlation among samples in a matrix (assuming samples are columns in the matrix). This is a quick way to show the relationship between samples.

Usage

correlation_coefficient_heatmap(x)

Arguments

x	A matrix of expression data.

Details

Of note, the color map is created such that the colors are from white to red, scaled to the range of correlations seen. This is because when doing sample-sample correlations, it's often the case that they are all highly correlated. Rather than over-emphasize differences that aren't there, this is a cleaner approach.

Value

A ComplexHeatmap of correlation.

steveneschrich/CLIApet documentation built on March 2, 2021, 12:02 a.m.