dynamicMergeCut

Calculate a suitable threshold for module merging based on the number of samples and a desired Z
quantile.

 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

dynamicMergeCut function

<dl> <dt>n</dt>
<dd>number of samples</dd> <dt>mergeCor</dt>
<dd>theoretical correlation threshold for module merging</dd> <dt>Zquantile</dt>
<dd>Z quantile for module merging</dd></dl>

Arguments

Author

Threshold for module merging — dynamicMergeCut

<dl>

 <dt>n</dt>
<dd>number of samples</dd>

 <dt>mergeCor</dt>
<dd>theoretical correlation threshold for module merging</dd>

 <dt>Zquantile</dt>
<dd>Z quantile for module merging</dd>

</dl>

Threshold for module merging

dynamicMergeCut: Threshold for module merging

Description

Usage

Value

Arguments

Author

Details

See Also

Examples