iC10TrainingData-package | R Documentation |
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. Training datasets for iC10; which implements the classifier described in the METABRIC paper 'The genomic and transcriptomic architecture of 2,000 breast tumours reveals novel subgroups' (Curtis et al., Nature 2012). 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.
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Training datasets for iC10; which implements the classifier described in the METABRIC
paper 'The genomic and transcriptomic architecture of 2,000 breast
tumours reveals novel subgroups' (Curtis et al., Nature 2012).
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.
Oscar M Rueda and Jose Antonio Seoane Fernandez
Maintainer: Oscar M. Rueda <Oscar.Rueda@mrc-bsu.cam.ac.uk>
Curtis et al. The genomic and transcriptomic architecture of 2,000 breast tumours reveals novel subgroups. Nature 2012; 486:346-352. Tibshirani et al. Diagnosis of multiple cancer types by shrunken centroids of gene expression. PNAS 2002; 99(10):6567-6572.
iC10
data(train.CN)
data(train.Exp)
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