formatWGCNAModule: 'formatWGCNAModule' format resulting WGCNA module

In kwanjeeraw/grinn: graph database and R package for omics data integration

Description

Modify the R codes from WGCNA tutorials, to return module output for further uses by fetchGrinnModuNetwork, fetchModuGrinnNetwork, fetchWGCNAModule.

Usage

formatWGCNAModule(datX, softPower, mdColors, threshold, nodetype, returnAs)

References

Langfelder P. and Horvath S. (2008) WGCNA: an R package for weighted correlation network analysis. BMC Bioinformatics, 9:559 Dudoit S., Yang YH., Callow MJ. and Speed TP. (2002) Statistical methods for identifying differentially expressed genes in replicated cDNA microarray experiments, STATISTICA SINICA, 12:111 Langfelder P. and Horvath S. Tutorials for the WGCNA package http://labs.genetics.ucla.edu/horvath/CoexpressionNetwork/Rpackages/WGCNA/Tutorials/index.html

See Also

exportNetworkToCytoscape, TOMsimilarityFromExpr, fetchGrinnModuNetwork, fetchModuGrinnNetwork, fetchWGCNAModule

kwanjeeraw/grinn documentation built on May 20, 2019, 7:07 p.m.