iC10TrainingData-package {iC10TrainingData} | R Documentation |
Training Datasets for iC10 Package
Description
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.
Details
The DESCRIPTION file:
Package: | iC10TrainingData |
Type: | Package |
Title: | Training Datasets for iC10 Package |
Version: | 2.0.1 |
Date: | 2024-07-16 |
Author: | Oscar M Rueda and Jose Antonio Seoane Fernandez |
Maintainer: | Oscar M. Rueda <Oscar.Rueda@mrc-bsu.cam.ac.uk> |
Description: | 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. |
License: | GPL-3 |
Packaged: | 2014-09-15 12:22:07 UTC; rueda01 |
NeedsCompilation: | no |
Repository: | CRAN |
Date/Publication: | 2014-09-26 12:13:01 |
Index of help topics:
IntClustMemb Class Membership for the training set Map.All Probe mapping of the complete set of features of the training set Map.CN Probe mapping of the copy number features of the training set. Map.Exp Probe mapping of the Expression features of the training set iC10TrainingData-package Training Datasets for iC10 Package train.CN Copy number data for the training set train.Exp Expression data for the training set.
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.
Author(s)
Oscar M Rueda and Jose Antonio Seoane Fernandez
Maintainer: Oscar M. Rueda <Oscar.Rueda@mrc-bsu.cam.ac.uk>
References
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.
See Also
iC10
Examples
data(train.CN)
data(train.Exp)