ISVA Downloaded: 0 Viewed: 0 Developed By: Computational Systems Genomics
We present a modified SVA, called Independent Surrogate Variable Analysis (ISVA), to identify features correlating with a phenotype of interest in the presence of potential confounding factors. ISVA should be useful as a feature selection tool in studies that are subject to confounding.
Documentation & Usage:
CRAN link: https://cran.r-project.org/web/packages/isva/index.html
isva: Independent Surrogate Variable Analysis
Independent Surrogate Variable Analysis is an algorithm for feature selection in the presence of potential confounding factors.
Version: 1.8 Depends: qvalue, fastICA Published: 2013-11-04 Maintainer: Andrew Teschendorff License: GPL-2 NeedsCompilation: no CRAN checks: isva results
Reference Manual: http://www.picb.ac.cn/compsysg/Software/ISVA/manual.pdf
ISVA is developed and maintained by CAS-MPG Partner Institute for Computational Biology(PICB) ,Chinese Academy of Sciences. The software is only free of charge for non-commercial users.