title: Gene-Disease Interaction Retrieval from Multiple Sources: A Network Based Method.
abstract: 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.
authors.affiliation: College of Computer Science and Technology, Jilin University, Changchun 130012, China; Key Laboratory of Symbolic Computation and Knowledge Engineering, Jilin University, Ministry of Education, Changchun 130012, China.
authors.forename: Lan
authors.initials: L
authors.lastname: Huang
authors.affiliation: College of Computer Science and Technology, Jilin University, Changchun 130012, China.
authors.forename: Ye
authors.identifier: 0000-0002-0223-8181
authors.initials: Y
authors.lastname: Wang
authors.affiliation: College of Computer Science and Technology, Jilin University, Changchun 130012, China; Key Laboratory of Symbolic Computation and Knowledge Engineering, Jilin University, Ministry of Education, Changchun 130012, China.
authors.forename: Yan
authors.initials: Y
authors.lastname: Wang
authors.affiliation: College of Computer Science and Technology, Jilin University, Changchun 130012, China; Key Laboratory of Symbolic Computation and Knowledge Engineering, Jilin University, Ministry of Education, Changchun 130012, China.
authors.forename: Tian
authors.identifier: 0000-0001-8060-4725
authors.initials: T
authors.lastname: Bai
mesh_terms: D000465:Algorithms; D057225:Data Mining; D030541:Databases, Genetic; D004843:Epistasis, Genetic; D063990:Gene Ontology; D053263:Gene Regulatory Networks; D006801:Humans