Article

An unsupervised disease module identification technique in biological networks using novel quality metric based on connectivity, conductance and modularity

2018-03-26

Abstract excerpt

Disease processes are usually driven by several genes interacting in molecular modules or pathways leading to the disease. The identification of such modules in gene or protein networks is the core of computational methods in biomedical research. With this pretext, the Disease Module Identification (DMI) DREAM Challenge was initiated as an effort to systematically assess module identification methods on a panel of...

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Literature Corpus work: 9d10e71e-a9e3-505b-bce9-ef7efa834987
DOI: 10.12688/f1000research.14258.1

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