DocumentCode
1930392
Title
Collection of Disease Networks by Hybrid Curation Method and the Application for Pathway Analysis
Author
Kushida, Tatsuya ; Asanuma, Takao ; Okuda, Yoshihiro ; Shidahara, Yo ; Takagi, Toshihisa
Author_Institution
NalaPro Technol., Inc.
fYear
2009
fDate
16-19 March 2009
Firstpage
800
Lastpage
806
Abstract
The network information on biological phenomena, such as incurable diseases, which were seldom known until now, was collected from more than 18,000,000 biomedical articles by a hybrid curation method which consisted of a machine curation by an information extraction system, GENPAC, and a manual curation by biologists. So far, 64 kinds of disease networks which comprise nodes of genes, proteins, chemicals, and biological phenomena, and edges of the interaction types, such as ldquoActivaterdquo and ldquoBindrdquo have been curated by the method. The information extraction of the networks shows high recall and precision rate, and furthermore, the disease networks information can be collected by the hybrid curation more efficiently than by only expert manual curation. It can be considered that the interaction and network information which is collected by the hybrid curation will be utilized for the functional annotation of gene clusters and discovering new subpathways on biological pathway maps.
Keywords
bioinformatics; biomedical engineering; diseases; genetics; knowledge acquisition; GENPAC; biological pathway maps; biological phenomena; biomedical articles; disease networks information; functional annotation; gene clusters; hybrid curation method; incurable diseases; information extraction system; machine curation; network information; pathway analysis; Application software; Biology; Competitive intelligence; Data mining; Diseases; Information analysis; Intelligent networks; Manuals; Proteins; Software systems; Disease network; Manual curation; Pathway analysis; Pubmed; Text mining;
fLanguage
English
Publisher
ieee
Conference_Titel
Complex, Intelligent and Software Intensive Systems, 2009. CISIS '09. International Conference on
Conference_Location
Fukuoka
Print_ISBN
978-1-4244-3569-2
Electronic_ISBN
978-0-7695-3575-3
Type
conf
DOI
10.1109/CISIS.2009.79
Filename
5066881
Link To Document