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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.

Type Size Name Uploaded Downloads Labels
conda 82.7 kB | linux-64/r-ic10-1.4.2-r351h6115d3f_0.tar.bz2  6 years and 2 months ago 310 main cf201901
conda 58.8 kB | linux-64/r-ic10-1.4.2-r341h6115d3f_0.tar.bz2  6 years and 2 months ago 434 main cf201901
conda 83.1 kB | osx-64/r-ic10-1.4.2-r351h6115d3f_0.tar.bz2  6 years and 2 months ago 110 main cf201901
conda 59.2 kB | osx-64/r-ic10-1.4.2-r341h6115d3f_0.tar.bz2  6 years and 2 months ago 285 main cf201901
conda 55.3 kB | osx-64/r-ic10-1.1.3-r3.4.1_0.tar.bz2  7 years and 1 month ago 4190 main cf201901
conda 55.6 kB | linux-64/r-ic10-1.1.3-r3.4.1_0.tar.bz2  7 years and 1 month ago 759 main cf201901

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