Semantic web for integrated network analysis in biomedicine

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Semantic web for integrated network analysis in biomedicine

Bibtype  article

Has publishing details  10,2,177-192,2009

Has title  Semantic Web for Integrated Network Analysis in Biomedicine

Has tr id  TW-2009-07

Has where published  Briefings in Bioinformatics Advance

Has year  2009

Paper url  http://bib.oxfordjournals.org/cgi/content/abstract/10/2/177

Title  Semantic Web for Integrated Network Analysis in Biomedicine

Year  2009

Abstract  The Semantic Web technology enables integr The Semantic Web technology enables integration of heterogeneous data on the World Wide Web by making the semantics of data explicit through formal ontologies. In this article, we survey the feasibility and state of the art of utilizing the Semantic Web technology to represent, integrate and analyze the knowledge in various biomedical networks. We introduce a new conceptual framework, semantic graph mining, to enable researchers to integrate graph mining with ontology reasoning in network data analysis. Through four case studies, we demonstrate how semantic graph mining can be applied to the analysis of disease-causal genes, Gene Ontology category cross-talks, drug efficacy analysis and herb-drug interactions analysis. lysis and herb-drug interactions analysis.

Author  Huajun Chen +, Li Ding +, Zhaohui Wu +, Tong Yu +, Lavanya Dhanapalan +, Jake Y. Chen +

Has author  Huajun Chen +, Li Ding +, Zhaohui Wu +, Tong Yu +, Lavanya Dhanapalan +, Jake Y. Chen +

Has identifier  TW-2009-07 +

Journal  Briefings in Bioinformatics Advance +

Number  2 +

Pages  177-192 +

Volume  10 +

Categories  Journal Paper +, Publication +, TW Technical Report +

 

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