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Gene-Disease Interaction Retrieval from Multiple Sources: A Network Based Method
Joint Authors
Wang, Yan
Huang, Lan
Wang, Ye
Bai, Tian
Source
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-07-13
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
The number of gene-related databases has been growing largely along with the research on genes of bioinformatics.
Those databases are filled with various gene functions, pathways, interactions, and so forth, while much biomedical knowledge about human diseases is stored as text in all kinds of literatures.
Researchers have developed many methods to extract structured biomedical knowledge.
Some study and improve text mining algorithms to achieve efficiency in order to cover as many data sources as possible, while some build open source database to accept individual submissions in order to achieve accuracy.
This paper combines both efforts and biomedical ontologies to build an interaction network of multiple biomedical ontologies, which guarantees its robustness as well as its wide coverage of biomedical publications.
Upon the network, we accomplish an algorithm which discovers paths between concept pairs and shows potential relations.
American Psychological Association (APA)
Huang, Lan& Wang, Ye& Wang, Yan& Bai, Tian. 2016. Gene-Disease Interaction Retrieval from Multiple Sources: A Network Based Method. BioMed Research International،Vol. 2016, no. 2016, pp.1-9.
https://search.emarefa.net/detail/BIM-1097374
Modern Language Association (MLA)
Huang, Lan…[et al.]. Gene-Disease Interaction Retrieval from Multiple Sources: A Network Based Method. BioMed Research International No. 2016 (2016), pp.1-9.
https://search.emarefa.net/detail/BIM-1097374
American Medical Association (AMA)
Huang, Lan& Wang, Ye& Wang, Yan& Bai, Tian. Gene-Disease Interaction Retrieval from Multiple Sources: A Network Based Method. BioMed Research International. 2016. Vol. 2016, no. 2016, pp.1-9.
https://search.emarefa.net/detail/BIM-1097374
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1097374