With the rising influence of the Gene On-tology, new approaches have emerged where the similarity between genes or gene products is obtained by comparing Gene Ontology code annotations associ-ated with them. So far, these approaches have solely relied on the knowledge en-coded in the Gene Ontology and the gene annotations associated with the Gene On-tology database. The goal of this paper is to demonstrate that improvements to these approaches can be obtained by integrating textual evidence extracted from relevant biomedical literature.
Revised: May 29, 2007 |
Published: June 8, 2006
Citation
Sanfilippo A.P., C. Posse, B. Gopalan, S.C. Tratz, and M.L. Gregory. 2006.Integrating Ontological Knowledge and Textual Evidence in Estimating Gene and Gene Product Similarity. In Human Language Technology Conference/North American chapter of the Association for Computational Linguistics annual meeting (HLT-NAACL) June 8-9, 2006, New York City, New York. Proceedings of the BioNLP'06 Workshop on Linking Natural Language Processing and Biology: Towards deeper biological literature analysis, 25-32. East Stroudsburg, Pennsylvania:The Association for Computational Linguistics.PNNL-SA-54090.