Skip Navigation

Briefings in Bioinformatics 2009 10(2):177-192; doi:10.1093/bib/bbp002
This Article
Right arrow Full Text
Right arrow Full Text (PDF)
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Add to My Personal Archive
Right arrow Download to citation manager
Right arrowRequest Permissions
Google Scholar
Right arrow Articles by Chen, H.
Right arrow Articles by Chen, J. Y.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Chen, H.
Right arrow Articles by Chen, J. Y.
Social Bookmarking
Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

© The Author 2009. Published by Oxford University Press. For Permissions, please email: journals.permissions@oxfordjournals.org

This article appears in the following Briefings in Bioinformatics issue: Special Issue: Semantic Web for Health Care and Life Sciences: A Review of the State of the Art [View the issue table of contents]

Semantic web for integrated network analysis in biomedicine

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

Corresponding author. Dr Huajun Chen. Tel: 86-571-87953703; Fax: 86-571-87953079; E-mail: huajunsir{at}gmail.com

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.

Keywords: Semantic Web, network biology, network medicine, graph mining, biomedical network analysis

Submitted: August 13, 2008. Received (in revised form): January 6, 2009.


Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us    What's this?




Disclaimer: Please note that abstracts for content published before 1996 were created through digital scanning and may therefore not exactly replicate the text of the original print issues. All efforts have been made to ensure accuracy, but the Publisher will not be held responsible for any remaining inaccuracies. If you require any further clarification, please contact our Customer Services Department.