Gene symbol disambiguation using knowledge-based profiles | Zendy

Hua Xu | Zendy; Jungwei Fan | Zendy; George Hripcsak | Zendy; Eneida A. Mendonça | Zendy; Marianthi Markatou | Zendy; Carol Friedman | Zendy

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Gene symbol disambiguation using knowledge-based profiles

Author(s) -

Hua Xu,

Jungwei Fan,

George Hripcsak,

Eneida A. Mendonça,

Marianthi Markatou,

Carol Friedman

Publication year - 2007

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btm056

Subject(s) - computer science , ambiguity , similarity (geometry) , context (archaeology) , information retrieval , gene prediction , gene nomenclature , gene , symbol (formal) , computational biology , artificial intelligence , natural language processing , genome , genetics , biology , taxonomy (biology) , paleontology , botany , nomenclature , image (mathematics) , programming language

The ambiguity of biomedical entities, particularly of gene symbols, is a big challenge for text-mining systems in the biomedical domain. Existing knowledge sources, such as Entrez Gene and the MEDLINE database, contain information concerning the characteristics of a particular gene that could be used to disambiguate gene symbols.

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