SNFtool: Similarity Network Fusion

Similarity Network Fusion takes multiple views of a network and fuses them together to construct an overall status matrix. The input to our algorithm can be feature vectors, pairwise distances, or pairwise similarities. The learned status matrix can then be used for retrieval, clustering, and classification.

Version:	2.3.1
Imports:	ExPosition, alluvial
Published:	2021-06-11
DOI:	10.32614/CRAN.package.SNFtool
Author:	Bo Wang, Aziz Mezlini, Feyyaz Demir, Marc Fiume, Zhuowen Tu, Michael Brudno, Benjamin Haibe-Kains, Anna Goldenberg
Maintainer:	Benjamin Brew <goldenberglab at gmail.com>
License:	GPL-2 | GPL-3 [expanded from: GPL]
NeedsCompilation:	no
Materials:	README
CRAN checks:	SNFtool results

Documentation:

Reference manual:

SNFtool.pdf

Downloads:

Package source:	SNFtool_2.3.1.tar.gz
Windows binaries:	r-devel: SNFtool_2.3.1.zip, r-release: SNFtool_2.3.1.zip, r-oldrel: SNFtool_2.3.1.zip
macOS binaries:	r-release (arm64): SNFtool_2.3.1.tgz, r-oldrel (arm64): SNFtool_2.3.1.tgz, r-release (x86_64): SNFtool_2.3.1.tgz, r-oldrel (x86_64): SNFtool_2.3.1.tgz
Old sources:	SNFtool archive

Reverse dependencies:

Reverse imports:	ccml, M3JF, MBMethPred, metasnf
Reverse suggests:	ANF, MMOC

Linking:

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