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/r19q662fd84xy58qagmgvx3nllz9nwav-r-biosigner-1.18.2.drv | ||
powerpc64le-linux | /gnu/store/p341qmd7078hggi10l2dc2g2bafw7z6n-r-biosigner-1.18.2.drv | ||
mips64el-linux | /gnu/store/kp6ffa6bkc2nvad8z8s1bw8dpy0glx2a-r-biosigner-1.18.2.drv | ||
i686-linux | /gnu/store/h5ww5x88bwcf6548p9ianxbmx1x3x9p1-r-biosigner-1.18.2.drv | ||
i586-gnu | /gnu/store/wlsa95fjd8m0sn1j9i0sip1l6m101k1z-r-biosigner-1.18.2.drv | ||
armhf-linux | /gnu/store/jbpq80n7ri4vp0cq09wg92jh3rvwq4fn-r-biosigner-1.18.2.drv | ||
aarch64-linux | /gnu/store/w1d4l762n7mj9w5s7q86in16kp4sljrc-r-biosigner-1.18.2.drv |
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description Validate package descriptions | use @code or similar ornament instead of quotes |