iC10: A Copy Number and Expression-Based Classifier for Breast Tumours

Implementation of 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.

Version: 1.5
Depends: pamr, impute, iC10TrainingData
Published: 2019-02-08
Author: Oscar M Rueda
Maintainer: Oscar M. Rueda <Oscar.Rueda at cruk.cam.ac.uk>
License: GPL-3
NeedsCompilation: no
Materials: NEWS
CRAN checks: iC10 results


Reference manual: iC10.pdf


Package source: iC10_1.5.tar.gz
Windows binaries: r-devel: iC10_1.5.zip, r-release: iC10_1.5.zip, r-oldrel: iC10_1.5.zip
macOS binaries: r-release (arm64): iC10_1.5.tgz, r-oldrel (arm64): iC10_1.5.tgz, r-release (x86_64): iC10_1.5.tgz, r-oldrel (x86_64): iC10_1.5.tgz
Old sources: iC10 archive

Reverse dependencies:

Reverse depends: genefu


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