iC10TrainingData: Training Datasets for iC10 Package

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.

Version: 2.0.1
Depends: R (≥ 3.5.0)
Published: 2024-07-16
DOI: 10.32614/CRAN.package.iC10TrainingData
Author: Oscar M Rueda and Jose Antonio Seoane Fernandez
Maintainer: Oscar M. Rueda <Oscar.Rueda at mrc-bsu.cam.ac.uk>
License: GPL-3
NeedsCompilation: no
CRAN checks: iC10TrainingData results

Documentation:

Reference manual: iC10TrainingData.pdf

Downloads:

Package source: iC10TrainingData_2.0.1.tar.gz
Windows binaries: r-devel: iC10TrainingData_2.0.1.zip, r-release: iC10TrainingData_2.0.1.zip, r-oldrel: iC10TrainingData_2.0.1.zip
macOS binaries: r-release (arm64): iC10TrainingData_2.0.1.tgz, r-oldrel (arm64): iC10TrainingData_2.0.1.tgz, r-release (x86_64): iC10TrainingData_2.0.1.tgz, r-oldrel (x86_64): iC10TrainingData_2.0.1.tgz
Old sources: iC10TrainingData archive

Reverse dependencies:

Reverse imports: iC10
Reverse suggests: GSgalgoR

Linking:

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