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coreheat  

Correlation Heatmaps
View on CRAN: Click here


Download and install coreheat package within the R console
Install from CRAN:
install.packages("coreheat")

Install from Github:
library("remotes")
install_github("cran/coreheat")

Install by package version:
library("remotes")
install_version("coreheat", "0.3.2")



Attach the package and use:
library("coreheat")
Maintained by
Vidal Fey
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-09-19
Latest Update: 2026-02-09
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.
How to cite:
Vidal Fey (2021). coreheat: Correlation Heatmaps. R package version 0.3.2, https://cran.r-project.org/web/packages/coreheat. Accessed 24 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:28), 0.2.2 (2021-09-19 09:20)
Other packages that cited coreheat R package
View coreheat citation profile
Other R packages that coreheat depends, imports, suggests or enhances
Complete documentation for coreheat
Functions, R codes and Examples using the coreheat R package
Full coreheat package functions and examples
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