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A Graphical User Interface for accessing and modeling the Cancer Genomics Data of MSKCC

Bioconductor version: Release (3.19)

The package is user friendly interface based on the cgdsr and other modeling packages to explore, compare, and analyse all available Cancer Data (Clinical data, Gene Mutation, Gene Methylation, Gene Expression, Protein Phosphorylation, Copy Number Alteration) hosted by the Computational Biology Center at Memorial-Sloan-Kettering Cancer Center (MSKCC).

Author: Karim Mezhoud. Nuclear Safety & Security Department. Nuclear Science Center of Tunisia.

Maintainer: Karim Mezhoud <kmezhoud at>

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


To install this package, start R (version "4.4") and enter:

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


For older versions of R, please refer to the appropriate Bioconductor release.


To view documentation for the version of this package installed in your system, start R and enter:

canceR: A Graphical User Interface for accessing and modeling the Cancer Genomics Data of MSKCC HTML R Script
Reference Manual PDF


biocViews Clustering, GO, GUI, GeneExpression, GeneSetEnrichment, KEGG, MultipleComparison, Software
Version 1.38.0
In Bioconductor since BioC 3.1 (R-3.2) (9.5 years)
License GPL-2
Depends R (>= 4.3), tcltk, cBioPortalData
Imports GSEABase, tkrplot, geNetClassifier, RUnit, Formula, rpart, survival, Biobase, phenoTest, circlize, plyr, tidyr, dplyr, graphics, stats, utils, grDevices, R.oo, R.methodsS3
System Requirements Tktable, BWidget
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Suggests testthat (>= 3.1), knitr, rmarkdown, BiocStyle
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Follow Installation instructions to use this package in your R session.

Source Package canceR_1.38.0.tar.gz
Windows Binary (64-bit only)
macOS Binary (x86_64) canceR_1.38.0.tgz
macOS Binary (arm64) canceR_1.38.0.tgz
Source Repository git clone
Source Repository (Developer Access) git clone
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