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Data mining in biomedicine using ontologies

Author: Mihail Popescu; Dong Xu
Publisher: Boston : Artech House, ©2009.
Series: Artech House bioinformatics & biomedical imaging series.
Edition/Format:   Print book : EnglishView all editions and formats
Summary:
"A growing number of ontologies are being built and used for annotating data in biomedical research. Thanks to the tremendous amount of data being generated, ontologies are now being used in numerous ways, including connecting different databases, refining search capabilities, interpreting experimental/clinical data, and inferring knowledge. This cutting-edge resource introduces you to latest developments in  Read more...
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Document Type: Book
All Authors / Contributors: Mihail Popescu; Dong Xu
ISBN: 9781596933705 1596933704
OCLC Number: 326505676
Description: xv, 262 pages : illustrations ; 26 cm.
Contents: Introduction in Ontologies. UMLS. Gene Ontology. Ontological Similarity Measures. Clustering Objects Described by Ontology Terms. Protein Classification Using Ontology. Go-based Gene Function Prediction Using High-Throughput Data. Mapping Genes to Gene Networks Using Ontological Fuzzy Rule Systems. Extracting Biological Knowledge by Fuzzy Association Rule Mining. Data Summarization Using Ontologies. Data Mining through Ontology Learning. Integrating Databases for Data Mining Using UMLS. Ontology Application in Text Mining.
Series Title: Artech House bioinformatics & biomedical imaging series.
Responsibility: Mihail Popescu, Dong Xu, editors.

Abstract:

An ontology is a set of vocabulary terms with explicitly stated meanings and relations with other terms. This resource introduces researchers to the developments in bio-ontologies. It provides the  Read more...

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