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

Documentation:

Reference manual:

iC10.pdf

Downloads:

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

Linking:

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