SIGN: Similarity Identification in Gene Expression

Provides a classification framework to use expression patterns of pathways as features to identify similarity between biological samples. It provides a new measure for quantifying similarity between expression patterns of pathways.

Version: 0.1.0
Depends: R (≥ 3.4)
Imports: stats, utils, survcomp, survival, GSVA
Published: 2018-12-18
Author: Seyed Ali Madani Tonekaboni [aut], Gangesh Beri [aut], Janosch Ortmann [aut], Benjamin Haibe-Kains [aut, cre]
Maintainer: Benjamin Haibe-Kains <benjamin.haibe.kains at utoronto.ca>
License: GPL (≥ 3)
NeedsCompilation: yes
Materials: README
CRAN checks: SIGN results

Downloads:

Reference manual: SIGN.pdf
Package source: SIGN_0.1.0.tar.gz
Windows binaries: r-devel: SIGN_0.1.0.zip, r-release: SIGN_0.1.0.zip, r-oldrel: SIGN_0.1.0.zip
OS X binaries: r-release: SIGN_0.1.0.tgz, r-oldrel: SIGN_0.1.0.tgz

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