modplot

object

main

xlab

ylab

<p>Labels for the modules.  A data.frame
or character matrix with first column giving
the current name of module and second column giving
the assigned name of each module.</p>

module_labels

<p>The plot is designed
to depict the size of each module and what percentage of selected
features fall into each module.  In particular, it is easy to
determine which module is over-represented in the group of selected
features.</p>

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.
See D. Conn, Ngun, T., C. Ramirez, and G. Li (2019) <doi:10.18637/jss.v091.i09>
for further details.

modplot: Plots relative importance of modules.

Description

Usage

Arguments

See Also