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:
install.packages("isva")
AuthorAndrew E Teschendorff
Date of publication2017-01-14 01:35:23
MaintainerAndrew Teschendorff <a.teschendorff@ucl.ac.uk>
LicenseGPL-2
Version1.9

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Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

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