Literature DB >> 12874055

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

Jung-Hsien Chiang1, Hsu-Chun Yu.   

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. AVAILABILITY: http://ismp.csie.ncku.edu.tw/~yuhc/meke/

Mesh:

Substances:

Year:  2003        PMID: 12874055     DOI: 10.1093/bioinformatics/btg160

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  18 in total

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Journal:  Nucleic Acids Res       Date:  2004-07-01       Impact factor: 16.971

2.  Determining word sequence variation patterns in clinical documents using multiple sequence alignment.

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Journal:  AMIA Annu Symp Proc       Date:  2011-10-22

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5.  Epilepsy and seizure ontology: towards an epilepsy informatics infrastructure for clinical research and patient care.

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6.  Mining experimental evidence of molecular function claims from the literature.

Authors:  Colleen E Crangle; J Michael Cherry; Eurie L Hong; Alex Zbyslaw
Journal:  Bioinformatics       Date:  2007-10-17       Impact factor: 6.937

7.  Information theory applied to the sparse gene ontology annotation network to predict novel gene function.

Authors:  Ying Tao; Lee Sam; Jianrong Li; Carol Friedman; Yves A Lussier
Journal:  Bioinformatics       Date:  2007-07-01       Impact factor: 6.937

Review 8.  Epilepsy informatics and an ontology-driven infrastructure for large database research and patient care in epilepsy.

Authors:  Satya S Sahoo; Guo-Qiang Zhang; Samden D Lhatoo
Journal:  Epilepsia       Date:  2013-05-03       Impact factor: 5.864

9.  Protein function prediction using text-based features extracted from the biomedical literature: the CAFA challenge.

Authors:  Andrew Wong; Hagit Shatkay
Journal:  BMC Bioinformatics       Date:  2013-02-28       Impact factor: 3.169

10.  A review of modeling techniques for genetic regulatory networks.

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Journal:  J Med Signals Sens       Date:  2012-01
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