isva: Independent Surrogate Variable Analysis
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 |
| Author: |
Andrew E Teschendorff |
| Maintainer: |
Andrew Teschendorff <a.teschendorff at ucl.ac.uk> |
| License: |
GPL-2 |
| NeedsCompilation: |
no |
| CRAN checks: |
isva results |
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