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Cancer subtypes identification, validation and visualization based on multiple genomic data sets

Bioconductor version: Release (3.18)

CancerSubtypes integrates the current common computational biology methods for cancer subtypes identification and provides a standardized framework for cancer subtype analysis based multi-omics data, such as gene expression, miRNA expression, DNA methylation and others.

Author: Taosheng Xu [aut, cre]

Maintainer: Taosheng Xu <taosheng.x at gmail.com>

Citation (from within R, enter citation("CancerSubtypes")):


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if (!require("BiocManager", quietly = TRUE))


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Reference Manual PDF


biocViews Clustering, GeneExpression, Software, Visualization
Version 1.28.0
In Bioconductor since BioC 3.4 (R-3.3) (7.5 years)
License GPL (>= 2)
Depends R (>= 4.0), sigclust, NMF
Imports cluster, impute, limma, ConsensusClusterPlus, grDevices, survival
System Requirements
URL https://github.com/taoshengxu/CancerSubtypes
Bug Reports https://github.com/taoshengxu/CancerSubtypes/issues
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Suggests BiocGenerics, knitr, RTCGA.mRNA, rmarkdown
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Follow Installation instructions to use this package in your R session.

Source Package
Windows Binary CancerSubtypes_1.28.0.zip (64-bit only)
macOS Binary (x86_64) CancerSubtypes_1.28.0.tgz
macOS Binary (arm64) CancerSubtypes_1.28.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/CancerSubtypes
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/CancerSubtypes
Bioc Package Browser https://code.bioconductor.org/browse/CancerSubtypes/
Package Short Url https://bioconductor.org/packages/CancerSubtypes/
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