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coreheat (version 0.2.2)

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

3

Version

0.2.2

License

GPL-3

Maintainer

Vidal Fey

Last Published

September 19th, 2021

Functions in coreheat (0.2.2)

coreheat

Draw Correlation Heatmaps
eset_cor

Helper function to calculate the correlation matrix.
clust_cormap

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

Automatically split clusters based on noise level and hierarchy
cormap2

Draw correlation maps from large datasets.