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iC10 (version 2.0.2)

A Copy Number and Expression-Based Classifier for Breast Tumours

Description

Implementation of the classifier described in the paper Ali HR et al (2014) . It uses copy number and/or expression form breast cancer data, trains a Tibshirani's 'pamr' classifier with the features available and predicts the iC10 group.

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Version

Install

install.packages('iC10')

Monthly Downloads

555

Version

2.0.2

License

GPL-3

Maintainer

Oscar Rueda

Last Published

July 19th, 2024

Functions in iC10 (2.0.2)

getExpfeatures

Internal function for matching expression features.
goodnessOfFit

Goodness of fit results of the iC10 classifier
summary.iC10

Summary results of the iC10 classifier
normalizeFeatures

Normalization of expression features
getCNfeatures

Internal function for matching copy number features.
compare

Compare results of the iC10 classifier
matchFeatures

Matching features from the classifier to the test data.
plot.iC10

Plot results of the iC10 classifier
iC10-package

tools:::Rd_package_title("iC10")
print.iC10

Print results of the iC10 classifier
iC10

A copy number and expression-based classfier for breast cancers