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>).

Package details

AuthorAndrew E Teschendorff
MaintainerAndrew Teschendorff <[email protected]>
LicenseGPL-2
Version1.9
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("isva")

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isva documentation built on May 1, 2019, 6:49 p.m.