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 |
Reference manual: | MEGENA.pdf |
Vignettes: |
MEGENA pipeline overview |
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: MEGENA_1.3.7.tgz, r-oldrel: MEGENA_1.3.7.tgz |
Old sources: | MEGENA archive |
Reverse imports: | DDPNA |
Reverse suggests: | DGCA |
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