fuzzyforest is an extension of random forests designed to yield less biased
variable importance rankings when features are correlated with one another.
The algorithm requires that features be partitioned into separate groups
or modules such that the correlation within groups is large and the
correlation between groups is small. fuzzyforest allows for easy integration
with the package WGCNA.
- the latest released version can be downloaded from CRAN:
install.packages("fuzzyforest") - the latest development version can be downloaded from github:
install_github("OHDSI/FuzzyForest")
To enable use of the full functionality of fuzzyforest, the package WGCNA
must be installed. However, WGCNA requires the installation of a few
packages from bioConductor. To install WGCNA, type the following lines
into the console:
setRepositories(ind=1:2)
install.packages("WGCNA")
source("http://bioconductor.org/biocLite.R")
biocLite("AnnotationDbi", type="source")
biocLite("GO.db")
If further issues with the installation of WGCNA arise see the WGCNA
website: http://labs.genetics.ucla.edu/horvath/CoexpressionNetwork/Rpackages/WGCNA/index.html#manualInstall
This work is partially supported through NSF grant IIS 1251151.