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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 84.0 kB | osx-64/r-ic10-1.4.2-r36h6115d3f_2.tar.bz2  6 years and 4 months ago 4075 main
conda 83.7 kB | linux-64/r-ic10-1.4.2-r36h6115d3f_2.tar.bz2  6 years and 4 months ago 345 main
conda 83.4 kB | linux-64/r-ic10-1.4.2-r351h6115d3f_1.tar.bz2  7 years and 6 days ago 385 main gcc7
conda 83.4 kB | osx-64/r-ic10-1.4.2-r351h6115d3f_1.tar.bz2  7 years and 6 days ago 382 main gcc7
conda 82.7 kB | linux-64/r-ic10-1.4.2-r351h6115d3f_0.tar.bz2  7 years and 2 months ago 411 main cf201901
conda 58.8 kB | linux-64/r-ic10-1.4.2-r341h6115d3f_0.tar.bz2  7 years and 2 months ago 534 main cf201901
conda 83.1 kB | osx-64/r-ic10-1.4.2-r351h6115d3f_0.tar.bz2  7 years and 2 months ago 141 main cf201901
conda 59.2 kB | osx-64/r-ic10-1.4.2-r341h6115d3f_0.tar.bz2  7 years and 2 months ago 316 main cf201901

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