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iC10

A Copy Number and Expression-Based Classifier for Breast Tumours

Implementation of the classifier described in the paper Ali HR et al (2014) <doi:10.1186/s13059-014-0431-1>. 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.

Versions across snapshots

VersionRepositoryFileSize
2.0.2 rolling linux/jammy R-4.5 iC10_2.0.2.tar.gz 16.4 KiB
2.0.2 rolling linux/noble R-4.5 iC10_2.0.2.tar.gz 16.4 KiB
2.0.2 rolling source/ R- iC10_2.0.2.tar.gz 16.4 KiB
2.0.2 latest linux/jammy R-4.5 iC10_2.0.2.tar.gz 16.4 KiB
2.0.2 latest linux/noble R-4.5 iC10_2.0.2.tar.gz 16.4 KiB
2.0.2 latest source/ R- iC10_2.0.2.tar.gz 16.4 KiB
2.0.2 2026-04-26 source/ R- iC10_2.0.2.tar.gz 16.4 KiB
2.0.2 2026-04-23 source/ R- iC10_2.0.2.tar.gz 16.4 KiB
2.0.2 2025-04-20 source/ R- iC10_2.0.2.tar.gz 16.4 KiB

Dependencies (latest)

Imports