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>).
| Version: | 1.9 |
| Depends: | qvalue, fastICA, JADE |
| Published: | 2017-01-14 |
| DOI: | 10.32614/CRAN.package.isva |
| Author: | Andrew E Teschendorff |
| Maintainer: | Andrew Teschendorff <a.teschendorff at ucl.ac.uk> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| CRAN checks: | isva results |
| Reference manual: | isva.pdf |
| Package source: | isva_1.9.tar.gz |
| Windows binaries: | r-devel: isva_1.9.zip, r-release: isva_1.9.zip, r-oldrel: isva_1.9.zip |
| macOS binaries: | r-release (arm64): isva_1.9.tgz, r-oldrel (arm64): isva_1.9.tgz, r-release (x86_64): isva_1.9.tgz, r-oldrel (x86_64): isva_1.9.tgz |
| Old sources: | isva archive |
| Reverse depends: | SmartSVA |
| Reverse imports: | ChAMP, MEAL, omicRexposome |
| Reverse suggests: | RnBeads |
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