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iC10 (version 1.5)

A Copy Number and Expression-Based Classifier for Breast Tumours

Description

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.

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Version

Install

install.packages('iC10')

Monthly Downloads

913

Version

1.5

License

GPL-3

Maintainer

Oscar Rueda

Last Published

February 8th, 2019

Functions in iC10 (1.5)

print.iC10

Print results of the iC10 classifier
matchFeatures

Matching features from the classifier to the test data.
normalizeFeatures

Normalization of expression features
summary.iC10

Summary results of the iC10 classifier
getExpfeatures

Internal function for matching expression features.
goodnessOfFit

Goodness of fit results of the iC10 classifier
compare

Compare results of the iC10 classifier
getCNfeatures

Internal function for matching copy number features.
iC10-package

iC10
iC10

A copy number and expression-based classfier for breast cancers
plot.iC10

Plot results of the iC10 classifier