Signature discovery from omics data
Feature selection is critical in omics data analysis to extract restricted and meaningful molecular signatures from complex and high-dimension data, and to build robust classifiers. This package implements a method to assess the relevance of the variables for the prediction performances of the classifier. The approach can be run in parallel with the PLS-DA, Random Forest, and SVM binary classifiers. The signatures and the corresponding 'restricted' models are returned, enabling future predictions on new datasets.
System | Target | Derivation | Build status |
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x86_64-linux | /gnu/store/g4q5hvjr46xlr9a4k2j1g9fi42z8algb-r-biosigner-1.18.2.drv | ||
powerpc64le-linux | /gnu/store/3qfvh65ip51qxza9xv5vjcbd84ps4a6p-r-biosigner-1.18.2.drv | ||
mips64el-linux | /gnu/store/p289cgkclqr5llhjqwws1ggp2w9va0wg-r-biosigner-1.18.2.drv | ||
i686-linux | /gnu/store/cm1r15g01q6hpaph72c1w3sfhbvvmp2c-r-biosigner-1.18.2.drv | ||
i586-gnu | /gnu/store/k1xp5j507dnaacrk2yqd6g0n84wy4vcw-r-biosigner-1.18.2.drv | ||
armhf-linux | /gnu/store/bhx3p4xdc786wzchr7jjifp5cp9zw2xc-r-biosigner-1.18.2.drv | ||
aarch64-linux | /gnu/store/2fc79p2bf86li7bd74cw4sz9b9prq0cl-r-biosigner-1.18.2.drv |
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description Validate package descriptions | use @code or similar ornament instead of quotes |