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.

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Reference manual

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install.packages("MEGENA")

1.3.7 by Won-Min Song, 10 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


Imported by DDPNA.

Suggested by DGCA.


See at CRAN