WGCNA
1 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.
2 Installation
- Download the R installer install it.
- Remember the R installation directory. If you do not know where you have installed R, check the default location
C:\Program Files\R\R-3.5.0\bin
, or search forRscript.exe
. - Add R to your
Path
environment variable. Open the start menu and search for “environment variables”, and select “Edit system environment variables”. - Find the
Path
variable in the editor and selectEdit
. - Now we can add R to the
Path
by clickingNew
and entering the location of the.../bin
folder of the R installation, e.gC:\Program Files\R\R-3.5.0\bin
. - In certain Windows version you might have to edit the
Path
directly. ThePath
consists of folder locations separated by ‘;’. Therefore, just append the installation location of R and the ‘;’ separator. No spaces or quotes are required. If thePath
variable is not defined on your system, you can define it yourself. - Check that R is installed correctly by opening
cmd.exe
from the start menu and enteringR
An R session should start. - Inside the running R session, install the WGCNA and PerseusR libraries by entering/pasting the following code line-by-line. When prompted for local install, type ‘yes’ twice and select a close-by server for the package download.
install.packages("BiocManager")
BiocManager::install(c("WGCNA", "devtools"))
library(devtools)
install_github('jdrudolph/PerseusR')
- You should now be able to load the
WGCNA
andPerseusR
libraries by entering the following code. Upon loading,WGCNA
will print some output, whilePerseusR
will not print any.
library(WGCNA)
library(PerseusR)
You are now ready to perform co-expression analysis from within Perseus.