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
Mar 29, 2026 at 14:29
License
GPL-2.0-or-later
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6.0K
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Supported Platforms
noarch