modPlots: Plot Module Eigengenes of each module for each sample

In jsieker/MultiMod: Expands WGCNA Clustering Analysis by Introducing a Pathway for Multiple Module Gene Assignment

Description

Plot Module Eigengenes across samples

Usage

modPlots(expr, modOrOut)

Arguments

expr	Sample expression data in a dataframe with rows as samples and columns as genes.
modOrOut	This is the output from the modOr (Module-Oriented) function in this package.

Value

A list the same length as the number of modules. If a module has no assigned genes (and thus no expression data), it will have a zero instead of a plot in the output list.

References

Langfelder P and Horvath S, WGCNA: an R package for weighted correlation network analysis. BMC Bioinformatics 2008, 9:559 doi:10.1186/1471-2105-9-559

Peter Langfelder, Steve Horvath (2012). Fast R Functions for Robust Correlations and Hierarchical Clustering. Journal of Statistical Software, 46(11), 1-17. URL http://www.jstatsoft.org/v46/i11/.

jsieker/MultiMod documentation built on May 8, 2019, 1:02 p.m.