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coreheat

Correlation Heatmaps

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.

README

### Example dataset

Example datasets can be found at `coreheat/inst/extdata` or can be obtained from [the example data directory at github](https://github.com/vfey/coreheat/blob/main/inst/extdata/).
A dataset consisting of [333 patients with primary prostate cancer](https://www.cbioportal.org/study/summary?id=prad_tcga_pub) was downloaded from The Cancer Genome Atlas (TCGA) via the cBioPortal for Cancer Genomics and two subsets were created, __PrCaTCGASample.txt__ containing genes commonly associated with cancer, and __PrCaTCGASample_5000.txt__ containing 500 genes selected at random.

Versions across snapshots

VersionRepositoryFileSize
0.3.2 rolling linux/jammy R-4.5 coreheat_0.3.2.tar.gz 3.1 MiB
0.3.2 rolling linux/noble R-4.5 coreheat_0.3.2.tar.gz 3.1 MiB
0.3.2 rolling source/ R- coreheat_0.3.2.tar.gz 3.1 MiB
0.3.2 latest linux/jammy R-4.5 coreheat_0.3.2.tar.gz 3.1 MiB
0.3.2 latest linux/noble R-4.5 coreheat_0.3.2.tar.gz 3.1 MiB
0.3.2 latest source/ R- coreheat_0.3.2.tar.gz 3.1 MiB
0.3.2 2026-04-26 source/ R- coreheat_0.3.2.tar.gz 3.1 MiB
0.3.2 2026-04-23 source/ R- coreheat_0.3.2.tar.gz 3.1 MiB

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