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 Rscript.exe
.Path
environment variable. Open the start menu and search for “environment variables”, and select “Edit system environment variables”.Path
variable in the editor and select Edit
.Path
by clicking New
and entering the location of the …/bin
folder of the R installation, e.g C:\Program Files\R\R-3.5.0\bin
Path
directly. 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 Path
variable is not defined on your system, you can define it yourself.cmd.exe
from the start menu and entering > R
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')
library(WGCNA) library(PerseusR)
You are now ready to perform co-expression analysis from within Perseus.