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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