consensusTreeInputs

This function returns a flat vector or a structured list of elementary inputs to a given consensus tree, that is, inputs
that are not consensus trees themselves.

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

consensusTreeInputs function

<dl> <dt>consensusTree</dt>
<dd>A consensus tree of class <code>ConsensusTree</code>.</dd> <dt>flatten</dt>
<dd>Logical; if <code>TRUE</code>, the function returns a flat character vector of inputs; otherwise, a list whose structure reflects 
the structure of <code>consensusTree</code>.</dd></dl>

Arguments

Author

Get all elementary inputs in a consensus tree — consensusTreeInputs

<dl>

 <dt>consensusTree</dt>
<dd>A consensus tree of class <code>ConsensusTree</code>.</dd>

 <dt>flatten</dt>
<dd>Logical; if <code>TRUE</code>, the function returns a flat character vector of inputs; otherwise, a list whose structure reflects 
the structure of <code>consensusTree</code>.</dd>

</dl>

Get all elementary inputs in a consensus tree

consensusTreeInputs: Get all elementary inputs in a consensus tree

Description

Usage

Value

Arguments

Author

See Also