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To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("curatedBreastData")

In most cases, you don't need to download the package archive at all.

DOI: 10.18129/B9.bioc.curatedBreastData

Curated breast cancer gene expression data with survival and treatment information

Bioconductor version: Release (3.5)

Curated human breast cancer tissue S4 ExpresionSet datasets from over 16 clinical trials comprising over 2,000 patients. All datasets contain at least one type of outcomes variable and treatment information (minimum level: whether they had chemotherapy and whether they had hormonal therapy). Includes code to post-process these datasets.

Author: Katie Planey

Maintainer: Katie Planey <katie.planey at gmail.com>

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("curatedBreastData")

Documentation

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

browseVignettes("curatedBreastData")

Details

Package Archives

Follow Installation instructions to use this package in your R session.

Source Repository git clone https://git.bioconductor.org/packages/curatedBreastData

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