SOFTWARE
The seventyGeneData R package contains the gene expression data for the van't Veer and Van de Vijver breast cancer cohorts. To install this package:
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Use an up-to-date version of R and Bioconductor, start an R session, and then execute the following:
source("http://www.bioconductor.org/biocLite.R")
biocLite("seventyGeneData")
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To obtain the breastCancerNKI, which is suggested by our package, you can run the execute the following commands:
source("http://www.bioconductor.org/biocLite.R")
biocLite("breastCancerNKI")
The mammaPrintData R package contains the gene expression data for the Glas and Buyse breast cancer cohorts. To install this package:
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Use an up-to-date version of R and Bioconductor, start an R session, and then execute the following:
source("http://www.bioconductor.org/biocLite.R")
biocLite("mammaPrintData")
The switchBox R package contains functions to develop simple K-Top-Scoring-Pair classifiers for binary data. The package was written in collaboration with Bahman Afsari and Wikum Dinalankara. To install it:
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Use an up-to-date version of R and Bioconductor, start an R session, and then execute the following:
source("http://www.bioconductor.org/biocLite.R")
biocLite("switchBox")
The matchBox R package contains functions to compute and plot Correspondence-At-the_Top curves. To install it:
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Use an up-to-date version of R and Bioconductor, start an R session, and then execute the following:
source("http://www.bioconductor.org/biocLite.R")
biocLite("matchBox")
The RTopper R-Bioconductor package is designed to perform Gene Set Analysis across multiple genomic platforms. To install it from Bioconductor you need:
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Use an up-to-date version of R and Bioconductor, start an R session, and then execute the following:
source("http://www.bioconductor.org/biocLite.R")
biocLite("RTopper")