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

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>

dynamicMergeCut: Threshold for module merging

Description

Usage

Value

Arguments

Author

Details

See Also

Examples