MEGENA: Multiscale Clustering of Geometrical Network

Co-Expression Network Analysis by adopting network embedding technique. Song W.-M., Zhang B. (2015) Multiscale Embedded Gene Co-expression Network Analysis. PLoS Comput Biol 11(11): e1004574. <doi:10.1371/journal.pcbi.1004574>.

Version:	1.3.7
Depends:	R (≥ 3.4.0), doParallel (≥ 1.0.11), foreach (≥ 1.4.4), igraph (≥ 1.2.1)
Imports:	Rcpp (≥ 0.11.3), Matrix (≥ 1.1-5), ggplot2 (≥ 1.0.0), reshape (≥ 0.8.5), fpc (≥ 2.1-11), cluster (≥ 2.0.7-1), ggrepel (≥ 0.5), ggraph (≥ 1.0.1)
LinkingTo:	Rcpp, BH
Suggests:	knitr, rmarkdown
Published:	2018-09-10
Author:	Won-Min Song, Bin Zhang
Maintainer:	Won-Min Song <wonmin1984 at gmail.com>
License:	GPL (≥ 3)
URL:	https://github.com/songw01/MEGENA
NeedsCompilation:	yes
Materials:	README
CRAN checks:	MEGENA results

Documentation:

Reference manual:	MEGENA.pdf
Vignettes:	MEGENA pipeline overview

Downloads:

Package source:	MEGENA_1.3.7.tar.gz
Windows binaries:	r-devel: MEGENA_1.3.7.zip, r-release: MEGENA_1.3.7.zip, r-oldrel: MEGENA_1.3.7.zip
macOS binaries:	r-release (arm64): MEGENA_1.3.7.tgz, r-oldrel (arm64): MEGENA_1.3.7.tgz, r-release (x86_64): MEGENA_1.3.7.tgz, r-oldrel (x86_64): MEGENA_1.3.7.tgz
Old sources:	MEGENA archive

Reverse dependencies:

Reverse imports:	DDPNA
Reverse suggests:	DGCA

Linking:

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