Clustering approaches for visual knowledge exploration in molecular interaction networks

Clustering approaches for visual knowledge exploration in molecular interaction networks

Abstract Background Biomedical knowledge grows in complexity, and becomes encoded in network-based repositories, which include focused, expert-drawn diagrams, networks of evidence-based associations and established ontologies. Combining these structured information sources is an important computatio...

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Bibliographic Details
Main Authors: Marek Ostaszewski, Emmanuel Kieffer, Grégoire Danoy, Reinhard Schneider, Pascal Bouvry
Format: Article
Language:English
Published: BMC 2018-08-01
Series:BMC Bioinformatics
Subjects:
Clustering
Bi-level optimization
Evolutionary algorithms
Molecular diagrams
Ontology
Knowledge discovery
Online Access:http://link.springer.com/article/10.1186/s12859-018-2314-z

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http://link.springer.com/article/10.1186/s12859-018-2314-z

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