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

Implementation of the classifier described in the paper Ali HR et al (2014) <doi:10.1186/s13059-014-0431-1>. It uses copy number and/or expression form breast cancer data, trains a Tibshirani's 'pamr' classifier with the features available and predicts the iC10 group.

Version: 2.0.2
Imports: pamr, impute, iC10TrainingData
Published: 2024-07-19
Author: Oscar M Rueda ORCID iD [aut, cre]
Maintainer: Oscar M Rueda <Oscar.Rueda at mrc-bsu.cam.ac.uk>
License: GPL-3
NeedsCompilation: no
Materials: NEWS
CRAN checks: iC10 results

Documentation:

Reference manual: iC10.html , iC10.pdf

Downloads:

Package source: iC10_2.0.2.tar.gz
Windows binaries: r-devel: iC10_2.0.2.zip, r-release: iC10_2.0.2.zip, r-oldrel: iC10_2.0.2.zip
macOS binaries: r-release (arm64): iC10_2.0.2.tgz, r-oldrel (arm64): iC10_2.0.2.tgz, r-release (x86_64): iC10_2.0.2.tgz, r-oldrel (x86_64): iC10_2.0.2.tgz
Old sources: iC10 archive

Reverse dependencies:

Reverse depends: genefu

Linking:

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