consensusMEDissimilarity

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

misc

Functions necessary to perform Weighted Correlation Network Analysis on high-dimensional data as originally described in Horvath and Zhang (2005) <doi:10.2202/1544-6115.1128> and Langfelder and Horvath (2008) <doi:10.1186/1471-2105-9-559>. 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.

Peter Langfelder

WGCNA

Weighted Correlation Network Analysis

Steve Horvath

Chaochao Cai

Jun Dong

Jeremy Miller

Lin Song

Andy Yip

Bin Zhang

consensusMEDissimilarity function

<dl> <dt>MEs</dt>
<dd>Module eigengenes of the same modules in several sets.</dd> <dt>useAbs</dt>
<dd>Controls whether absolute value of correlation should be used instead of correlation in
the calculation of dissimilarity.</dd> <dt>useSets</dt>
<dd>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.</dd> <dt>method</dt>
<dd>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> and as the average for <code>"majority"</code>.</dd></dl>

Arguments

Peter Langfelder, <a href="/link/Peter.Langfelder%40gmail.com?package=WGCNA&version=1.73" data-mini-rdoc="WGCNA::Peter.Langfelder@gmail.com">Peter.Langfelder@gmail.com</a>

Author

Consensus dissimilarity of module eigengenes. — consensusMEDissimilarity

<dl>

 <dt>MEs</dt>
<dd>Module eigengenes of the same modules in several sets.</dd>

 <dt>useAbs</dt>
<dd>Controls whether absolute value of correlation should be used instead of correlation in
the calculation of dissimilarity.</dd>

 <dt>useSets</dt>
<dd>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.</dd>

 <dt>method</dt>
<dd>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> and as the average for <code>"majority"</code>.</dd>

</dl>

Peter Langfelder, <a href='mailto:Peter.Langfelder@gmail.com'>Peter.Langfelder@gmail.com</a>

consensusMEDissimilarity: Consensus dissimilarity of module eigengenes.

Description

Usage

Value

Arguments

Author

Details

See Also