Gene ontology annotation by density and gravitation models.

Wen Juan Hou, Kevin Hsin Yih Lin, Hsin Hsi Chen

研究成果: 雜誌貢獻期刊論文同行評審

摘要

Gene Ontology (GO) is developed to provide standard vocabularies of gene products in different databases. The process of annotating GO terms to genes requires curators to read through lengthy articles. Methods for speeding up or automating the annotation process are thus of great importance. We propose a GO annotation approach using full-text biomedical documents for directing more relevant papers to curators. This system explores word density and gravitation relationships between genes and GO terms. Different density and gravitation models are built and several evaluation criteria are employed to assess the effects of the proposed methods.

原文英語
頁(從 - 到)110-120
頁數11
期刊Genome informatics. International Conference on Genome Informatics
17
發行號2
出版狀態已發佈 - 2006

ASJC Scopus subject areas

  • Medicine(all)

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