Description Usage Arguments References
Allows for a module-oriented, as opposed to a gene-oriented, output format of multiple module clustering. The analysis of these two methods are extremely similar, but the outputs are useful for very different types of analyses.
1 | modOr(threshold, kME, cap)
|
threshold |
A number between zero and one that serves as a cutoff of how well a Module must correlate with a certain module before it is considered part of that module in the analysis. A typical value is around 0.75 (the default), with more stringent analyses occuring around 0.90. |
kME |
The module eigenvalues outputted by WGCNA's 'blockwiseModules' or 'moduleEigenModules' functions. This is a required input. |
cap |
Sets a maximum number of modules to which a gene may be assigned. The default is five. |
Langfelder P and Horvath S, WGCNA: an R package for weighted correlation network analysis. BMC Bioinformatics 2008, 9:559 doi:10.1186/1471-2105-9-559
Peter Langfelder, Steve Horvath (2012). Fast R Functions for Robust Correlations and Hierarchical Clustering. Journal of Statistical Software, 46(11), 1-17. URL http://www.jstatsoft.org/v46/i11/.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.