consensusMEDissimilarity

Module eigengenes of the same modules in several sets.

Controls whether absolute value of correlation should be used instead of correlation in
the calculation of dissimilarity.

useAbs

If the consensus is to include only a selection of the given sets, this vector (or
scalar in the case of a single set) can be used to specify the selection. If <code>NULL</code>, all sets will
be used.

useSets

A character string giving the method to use. Allowed values are (abbreviations of) 
<code>"consensus"</code> and <code>"majority"</code>. The consensus dissimilarity is calculated as the
minimum of given set dissimilarities for <code>"consensus"</code> an

method

Calculates consensus dissimilarity <code>(1-cor)</code> of given module eigengenes relaized in several sets.

misc

Functions necessary to perform Weighted Correlation Network Analysis on high-dimensional data. Includes functions for rudimentary data cleaning, construction of correlation networks, module identification, summarization, and relating of variables and modules to sample traits. Also includes a number of utility functions for data manipulation and visualization.

consensusMEDissimilarity: Consensus dissimilarity of module eigengenes.

Description

Usage

Arguments

Value

Details

See Also