DOMINO: Discovery of Modules In Networks using Omic
DOMINO is a network-based module discovery (NBMD) algorithm. It recieves a gene network and nodes' activity scores as input and report sub-networks (modules) that are putatively biologically meaningful in the context of the activity data.
In extensive evaluation conducted on gene expression and genome-wide association study data we discovered that NBMD algorithms tended to over-reporting of enrichment: GO terms enriched in the modules on real data were often also enriched when the algorithms were run on randomly permuted activity scores.
In constrast, modules retrieved by DOMINO had high rate of empirically validated GO terms.
The software and source code of DOMINO is available through its Github page.
DOMINO was developed by Hagai Levi, Ran Elkon and Ron Shamir.
A preprint version of the study is available at BioRxiv.
How can I get help?
For questions or suggestions please contact Hagai Levi.