Gene ontology annotation by density and gravitation models.

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

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review


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.

Original languageEnglish
Pages (from-to)110-120
Number of pages11
JournalGenome informatics. International Conference on Genome Informatics
Issue number2
Publication statusPublished - 2006
Externally publishedYes

ASJC Scopus subject areas

  • General Medicine


Dive into the research topics of 'Gene ontology annotation by density and gravitation models.'. Together they form a unique fingerprint.

Cite this