isva: Independent Surrogate Variable Analysis
Version 1.9

Independent Surrogate Variable Analysis is an algorithm for feature selection in the presence of potential confounding factors (see Teschendorff AE et al 2011, ).

Package details

AuthorAndrew E Teschendorff
Date of publication2017-01-14 01:35:23
MaintainerAndrew Teschendorff <[email protected]>
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:

Try the isva package in your browser

Any scripts or data that you put into this service are public.

isva documentation built on May 29, 2017, 9:32 a.m.