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coreheat (version 0.3.2)

Correlation Heatmaps

Description

Create correlation heatmaps from a numeric matrix. Ensembl Gene ID row names can be converted to Gene Symbols using, e.g., BioMart. Optionally, data can be clustered and filtered by correlation, tree cutting and/or number of missing values. Genes of interest can be highlighted in the plot and correlation significance be indicated by asterisks encoding corresponding P-Values. Plot dimensions and label measures are adjusted automatically by default. The plot features rely on the heatmap.n2() function in the 'heatmapFlex' package.

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Version

Install

install.packages('coreheat')

Monthly Downloads

4

Version

0.3.2

License

GPL-3

Maintainer

Vidal Fey

Last Published

February 9th, 2026

Functions in coreheat (0.3.2)

cormap2

Draw correlation maps from large datasets.
clust_cormap

Cluster a correlation matrix and return the sorted matrix for plotting.
eset_cor

Helper function to calculate the correlation matrix.
coreheat

Draw Correlation Heatmaps
cormap_filt

Automatically split clusters based on noise level and hierarchy