canceR is a graphical user friendly interface 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 (cBio) at Memorial-Sloan-Kettering Cancer Center (MSKCC).
canceR implements functions from various packages:
to acces, explore and extract Genomics Cancers Data Base of MSKCC (
cgdsr,(Cerami et al. 2012),(Gao et al. 2013)),
to associate phenotypes with gene expression (
phenoTest, (Planet 2013)),
to predict which biological process or pathway or immune system are significantly different under the phenotypes and which genes are associated (
to predict the most up/down regulated gene sets belonging to one of MSigDB collections~(Subramanian et al. 2005) (
GSEAlm,(Oron, Jiang, and Gentleman 2008)),
to classify genes by diseases (
geNetClassifier,(Aibar et al. 2013)), or
to classify genes by variable or phenotype (
rpart, (Therneau, Atkinson, and Ripley 2014)),
to plot genes correlations.
to plot survival curves
to plot muti-omics data using Circos style (
circlize, (Gu et al. 2014))
nuWin32 (for Windows) http://sourceforge.net/projects/getgnuwin32/?source=typ_redirect
For Debian distribution (GNU/Linux)
For Windows distribution
LibXml2: parser for XML
For OS X distribution XQuartz: graphics device
run R and write theses lines in console to install dependencies.
Get the development version from github
run R and write theses lines in console to run canceR package.
The starting window (Figure~1-1) loads all available Cancer Studies (Figure~1-3) or search some ones by keyword (Figure 1 4). Before to get Cancers Data (Figure 1 7), it is important to set workspace for output files (Figure~1-1). The starting window displays Help menu where user can get this vignette (Figure~1-2).