Liver_Expr

A data set containing gene expression levels in liver tissue from female
mice. This data set is a subset of the liver expression data set
from the WGCNA tutorial <url>http://labs.genetics.ucla.edu/horvath/CoexpressionNetwork/Rpackages/WGCNA/Tutorials/</url>.
The tutorial contains further information about the data set as well as
extensive examples of WGCNA.

datasets

Fuzzy forests, a new algorithm based on random forests,
    is designed to reduce the bias seen in random forest feature selection
    caused by the presence of correlated features.  Fuzzy forests uses
    recursive feature elimination random forests to select
    features from separate blocks of correlated features where the
    correlation within each block of features is high
    and the correlation between blocks of features is low.
    One final random forest is fit using the surviving features.
    This package fits random forests using the 'randomForest' package and
    allows for easy use of 'WGCNA' to split features into distinct blocks.

Liver_Expr: Liver Expression Data from Female Mice

Description

Usage

Arguments

format

Details