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. .


Multiscale embedded gene co-expression network analysis

This is a routine MEGENA pipeline description encompassing from data correlation analysis to module plotting, and is based on version 1.3.6 https://CRAN.R-project.org/package=MEGENA.Please cite the paper below when MEGENA is applied as part of your analysis:

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.

For statistical mechanics aspects involved in MEGENA, please check:

Song W.-M., Di Matteo T.and Aste T., Building Complex Networks with Platonic Solids, Physical Reivew E, 2012 Apr;85(4 Pt 2):046115.

News

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("MEGENA")

1.3.7 by Won-Min Song, 6 months ago


https://github.com/songw01/MEGENA


Browse source code at https://github.com/cran/MEGENA


Authors: Won-Min Song , Bin Zhang


Documentation:   PDF Manual  


GPL (>= 3) license


Imports Rcpp, Matrix, ggplot2, reshape, fpc, cluster, ggrepel, ggraph

Depends on doParallel, foreach, igraph

Suggests knitr, rmarkdown

Linking to Rcpp, BH


Suggested by DGCA.


See at CRAN