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/h131pi8271mrrr0f2537l2yff6il7j2m-r-biosigner-1.18.2.drv | ||
powerpc64le-linux | /gnu/store/3g6jrpj9ihmbnqafkg7xq3yc7mayshd4-r-biosigner-1.18.2.drv | ||
mips64el-linux | /gnu/store/3v2n2r3b47s8qjg9hi1vlji1p9z5r8i6-r-biosigner-1.18.2.drv | ||
i686-linux | /gnu/store/v6sa1ljnbj1k3jbxjx3dzc0vl62p1wdr-r-biosigner-1.18.2.drv | ||
i586-gnu | /gnu/store/1r8j3zfbs1jq0gxg1nlkimaw9f3j3smf-r-biosigner-1.18.2.drv | ||
armhf-linux | /gnu/store/5q5y98myy04h12a5vhwxzlpdq81y8494-r-biosigner-1.18.2.drv | ||
aarch64-linux | /gnu/store/n971d06m4xz4zqrr9f9mk2d7kx4gvb92-r-biosigner-1.18.2.drv |
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description Validate package descriptions | use @code or similar ornament instead of quotes |