MCL: Markov Cluster Algorithm

Contains the Markov cluster algorithm (MCL) for identifying clusters in networks and graphs. The algorithm simulates random walks on a (n x n) matrix as the adjacency matrix of a graph. It alternates an expansion step and an inflation step until an equilibrium state is reached.

Version:	1.0
Depends:	R (≥ 2.10.0)
Imports:	expm
Published:	2015-03-11
DOI:	10.32614/CRAN.package.MCL
Author:	Martin L. Jäger
Maintainer:	Ronja Foraita <foraita at bips.uni-bremen.de>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:	no
CRAN checks:	MCL results

Documentation:

Reference manual:

MCL.pdf

Downloads:

Package source:	MCL_1.0.tar.gz
Windows binaries:	r-devel: MCL_1.0.zip, r-release: MCL_1.0.zip, r-oldrel: MCL_1.0.zip
macOS binaries:	r-release (arm64): MCL_1.0.tgz, r-oldrel (arm64): MCL_1.0.tgz, r-release (x86_64): MCL_1.0.tgz, r-oldrel (x86_64): MCL_1.0.tgz

Reverse dependencies:

Reverse imports:	aPEAR, HPiP, mina, miRSM, miRspongeR, RITAN
Reverse suggests:	FCPS, simplifyEnrichment

Linking:

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