r-isva
Independent Surrogate Variable Analysis is an algorithm for feature selection in the presence of potential confounding factors (see Teschendorff AE et al 2011, <doi: 10.1093/bioinformatics/btr171>).
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Summary
Independent Surrogate Variable Analysis is an algorithm for feature selection in the presence of potential confounding factors (see Teschendorff AE et al 2011, <doi: 10.1093/bioinformatics/btr171>).
Last Updated
Jan 1, 2019 at 22:24
License
GPL-2
Total Downloads
5.6K
Supported Platforms
noarch