Data Mining in Biomedicine Using Ontologies (Bioinformatics & Biomedical Imaging)

ISBN 10: 1596933704 / ISBN 13: 9781596933705

Editore: Artech House Publishers, 2009

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Codice articolo SHUB196917

Dati bibliografici

• Titolo: Data Mining in Biomedicine Using Ontologies (Bioinformatics & Biomedical Imaging)
• Editore: Artech House Publishers
• Data di pubblicazione: 2009
• Lingua: Inglese
• ISBN 10: 1596933704
• ISBN 13: 9781596933705
• Rilegatura: Rilegato
• Condizione: nuovo

Descrizione articolo

Riassunto

Ontologies (sets of vocabulary terms whose meanings and relations with other terms are explicitly stated) are used in biomedical research for clustering and interpretation of biological data, protein classification, gene and pathway prediction, text mining, and connecting different databases. This book introduces emerging developments in bio-ontologies, focusing on algorithms and methodologies rather than on application domains. Examples at the molecular to clinical level represent areas of description logic, probability, and fuzzy logic. The book also covers data mining approaches, such as unsupervised learning, classification, and rule mining. Each self-contained chapter begins with a problem definition and historical perspective, then presents a mathematical or computational formulation of the problem, and describes computational methods and performance results. There are also details on technological infrastructure for bio-ontologies. About 160 illustrations support key topics. The book can be used as a text for upper undergraduate and beginning graduate courses in bioinformatics and medical informatics. It will also be useful to postdoctoral fellows, professional practitioners, and bioinformatics and medical informatics experts. Popescu is an adjunct professor in the Department of Computer Science, and Xu is professor and chair of the department, at the University of Missouri-Columbia. Annotation ©2009 Book News, Inc., Portland, OR (booknews.com)

Informazioni sull?autore

Dong Xu is a professor and chair of the Department of Computer Science at the University of Missouri, Columbia. He holds an M.S. in solid state physics from Peking University and a Ph.D. in computational biology from the University of Illinois. Mihail Popuscu is a adjunct professor in the Department of Computer Science and an assistant professor in the Department of Health Management and Informatics at the University of Missouri, Columbia. He holds an M.S. in electrical and computer engineering, an M.S. medical physics, and a Ph.D. in computer engineering from the University of Missouri, Columbia.