Weighted Gene Co-expression Network Analysis
This package is provided through the R-language integration into Perseus and therefore requires R as well as the package itself to be installed in order to be used. Visit the PluginInterop and PerseusR for additional technical information on the integration of R and Perseus.
C:\Program Files\R\R-3.5.0\bin, or search for
Pathenvironment variable. Open the start menu and search for “environment variables”, and select “Edit system environment variables”.
Pathvariable in the editor and select
Newand entering the location of the
…/binfolder of the R installation, e.g
Pathdirectly. The `Path` consists of folder locations separated by ‘;’. Therefore, just append the installation location of R and the ‘;’ separator. No spaces or quotes are required. If the
Pathvariable is not defined on your system, you can define it yourself.
cmd.exefrom the start menu and entering
An R session should start.
source("http://bioconductor.org/biocLite.R") biocLite(c("AnnotationDbi", "impute", "GO.db", "preprocessCore")) install.packages(c("WGCNA", "devtools")) library(devtools) install_github('jdrudolph/PerseusR')
You are now ready to perform co-expression analysis from within Perseus.