Implementation of 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.
|Author||Oscar M Rueda|
|Date of publication||2015-09-23 08:05:08|
|Maintainer||Oscar M. Rueda <Oscar.Rueda@cruk.cam.ac.uk>|
compare: Compare results of the iC10 classifier
getCNfeatures: Internal function for matching copy number features.
getExpfeatures: Internal function for matching expression features.
goodnessOfFit: Goodness of fit results of the iC10 classifier
iC10: A copy number and expression-based classfier for breast...
iC10-package: A copy number and expression-based classifier for breast...
matchFeatures: Matching features from the classifier to the test data.
normalizeFeatures: Normalization of expression features
plot.iC10: Plot results of the iC10 classifier
print.iC10: Print results of the iC10 classifier
summary.iC10: Summary results of the iC10 classifier
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