Training datasets for iC10; which implements the classifier described in the paper ‘Genome-driven integrated classification of breast cancer validated in over 7,500 samples’ (Ali HR et al., Genome Biology 2014). It uses copy number and/or expression form breast cancer data, trains a pamr classifier (Tibshirani et al.) with the features available and predicts the iC10 group. Genomic annotation for the training dataset has been obtained from Mark Dunning’s lluminaHumanv3.db package.

Home https://CRAN.R-project.org/package=iC10TrainingData
Versions 1.0.1, 1.3.1
License GPL-3
Recipe https://github.com/bioconda/bioconda-recipes/tree/master/recipes/r-ic10trainingdata


With an activated Bioconda channel (see 2. Set up channels), install with:

conda install r-ic10trainingdata

and update with:

conda update r-ic10trainingdata


A Docker container is available at https://quay.io/repository/biocontainers/r-ic10trainingdata.