Semantic Web Reasoning for Analyzing Gene Expression Profiles | Zendy

Liviu Badea | Zendy

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Semantic Web Reasoning for Analyzing Gene Expression Profiles

Author(s) -

Liviu Badea

Publication year - 2006

Publication title -

lecture notes in computer science

Language(s) - English

Resource type - Book series

SCImago Journal Rank - 0.249

H-Index - 400

eISSN - 1611-3349

pISSN - 0302-9743

ISBN - 3-540-39586-5

DOI - 10.1007/11853107_6

Subject(s) - computer science , semantic web , social semantic web , information retrieval , semantic web stack , expression (computer science) , data web , web service , artificial intelligence , world wide web , programming language

We argue that Semantic Web reasoning is an ideal tool for analyzing gene expression profiles and the resulting sets of differentially expressed genes produced by high-throughput microarray experiments, especially since this involves combining not only very large, but also semantically and structurally complex data and knowledge sources that are inherently distributed on the Web. In this paper, we describe an initial implementation of a full-fledged system for integrated reasoning about biological data and knowledge using Sematic Web reasoning technology and apply it to the analysis of a public pancreatic cancer dataset produced in the Pollack lab at Stanford.

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