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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:

Please use the canonical form https://CRAN.R-project.org/package=MCL to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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