TY - JOUR T1 - Ontology-driven approaches to analyzing data in functional genomics JF - Methods Mol Biol Y1 - 2006 A1 - F. Azuaje A1 - Fatima Al-Shahrour A1 - Dopazo, J. KW - babelomics KW - Cluster Analysis KW - Cluster Analysis Computational Biology/*methods *Data Interpretation KW - Computational Biology KW - Statistical Gene Expression Profiling KW - Statistical Gene Expression Profiling *Genomics Humans AB -

Ontologies are fundamental knowledge representations that provide not only standards for annotating and indexing biological information, but also the basis for implementing functional classification and interpretation models. This chapter discusses the application of gene ontology (GO) for predictive tasks in functional genomics. It focuses on the problem of analyzing functional patterns associated with gene products. This chapter is divided into two main parts. The first part overviews GO and its applications for the development of functional classification models. The second part presents two methods for the characterization of genomic information using GO. It discusses methods for measuring functional similarity of gene products, and a tool for supporting gene expression clustering analysis and validation.

VL - 316 UR - http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=16671401 N1 -

Azuaje, Francisco Al-Shahrour, Fatima Dopazo, Joaquin Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov’t Review United States Methods in molecular biology (Clifton, N.J.) Methods Mol Biol. 2006;316:67-86.

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