MeKE: Discovering the functions of gene products from biomedical literature via sentence alignment

Jung Hsien Chiang, Hsu Chun Yu

Research output: Contribution to journalArticle

68 Citations (Scopus)

Abstract

Motivation: Research on roles of gene products in cells is accumulating and changing rapidly, but most of the results are still reported in text form and are not directly accessible by computers. To expedite the progress of functional bioinformatics, it is, therefore, important to efficiently process large amounts of biomedical literature and transform the knowledge extracted into a structured format usable by biologists and medical researchers. Our aim was to develop an intelligent text-mining system that will extract from biomedical documents knowledge about the functions of gene products and thus facilitate computing with function. Results: We have developed an ontology-based text-mining system to efficiently extract from biomedical literature knowledge about the functions of gene products. We also propose methods of sentence alignment and sentence classification to discover the functions of gene products discussed in digital texts.

Original languageEnglish
Pages (from-to)1417-1422
Number of pages6
JournalBioinformatics
Volume19
Issue number11
DOIs
Publication statusPublished - 2003 Jul 22

All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • Biochemistry
  • Molecular Biology
  • Computer Science Applications
  • Computational Theory and Mathematics
  • Computational Mathematics

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