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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:

Please use the canonical form https://CRAN.R-project.org/package=iC10TrainingData to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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