Description Details References
dmGWAS2 constructs a node- and edge-weighted PPI network, performs dense module searching, generates simulation data from random networks, normalizes module scores using simulation data, removes unqualified modules, and orders resultant modules according to their significance.
This package takes three types of data as input: a list of genes with
association p-values, gene expression profiling in both case and control
samples, and a human PPI network. generate_graph
constructs a
node- and edge-weighted PPI network. dms
performs dense module
search upon the node- and edge-weighted PPI network.
Jia P, Zheng S, Long J, Zheng W, and Zhao Z (2011) dmGWAS: dense module searching for genome-wide association studies in protein-protein interaction networks. Bioinformatics 27(1):95-102.
Wang Q, Yu H, Zhao Z, and Jia P. EW_dmGWAS: Edge-weighted dense module search for genome-wide association studies and gene expression profiles. Manuscript in preparation.
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