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>).

Install the latest version of this package by entering the following in R:
AuthorAndrew E Teschendorff
Date of publication2017-01-14 01:35:23
MaintainerAndrew Teschendorff <>

View on CRAN

Questions? Problems? Suggestions? or email at

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.