MONET (modularized network learning) is a regulatory network inference algorithm based on Bayesian network learning, which enables genome-wide network inference from microarray expression data using parallel processing techniques with supercomputing resources.
Phil Hyoun Lee, Doheon Lee, Korea Advanced Institute of Science and Technology (KAIST).
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Bioinformatics. 2005 Jun 1;21(11):2739-47. Epub 2005 Mar 29.
Modularized learning of genetic interaction networks from biological annotations and mRNA expression data.
Lee PH, Lee D.