OHDSI/FuzzyForest

Name: FuzzyForest

Owner: Observational Health Data Sciences and Informatics

Description: [Under development] Random classification and regression trees

Created: 2015-06-22 21:58:33.0

Updated: 2017-11-01 19:55:11.0

Pushed: 2015-10-11 19:11:20.0

Homepage:

Size: 8618

Language: R

GitHub Committers

UserMost Recent Commit# Commits

Other Committers

UserEmailMost Recent Commit# Commits

README

fuzzyforest

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.

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:

epositories(ind=1:2)  
all.packages("WGCNA")
ce("http://bioconductor.org/biocLite.R")
Lite("AnnotationDbi", type="source")
Lite("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

Acknowledgments

This work is partially supported through NSF grant IIS 1251151.


This work is supported by the National Institutes of Health's National Center for Advancing Translational Sciences, Grant Number U24TR002306. This work is solely the responsibility of the creators and does not necessarily represent the official views of the National Institutes of Health.