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

Documentation:

Reference manual:

SIGN.pdf

Downloads:

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
macOS binaries:	r-release (arm64): SIGN_0.1.0.tgz, r-oldrel (arm64): SIGN_0.1.0.tgz, r-release (x86_64): SIGN_0.1.0.tgz, r-oldrel (x86_64): SIGN_0.1.0.tgz

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