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Inter-species normalization of gene mentions with GNAT
Author(s) -
Jörg Hakenberg,
Conrad Plake,
Robert Leaman,
Michael Schroeder,
Graciela GonzalezHernandez
Publication year - 2008
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/btn299
Subject(s) - identifier , normalization (sociology) , computer science , gene nomenclature , ambiguity , information retrieval , artificial intelligence , natural language processing , biology , taxonomy (biology) , nomenclature , programming language , botany , sociology , anthropology
Text mining in the biomedical domain aims at helping researchers to access information contained in scientific publications in a faster, easier and more complete way. One step towards this aim is the recognition of named entities and their subsequent normalization to database identifiers. Normalization helps to link objects of potential interest, such as genes, to detailed information not contained in a publication; it is also key for integrating different knowledge sources. From an information retrieval perspective, normalization facilitates indexing and querying. Gene mention normalization (GN) is particularly challenging given the high ambiguity of gene names: they refer to orthologous or entirely different genes, are named after phenotypes and other biomedical terms, or they resemble common English words.

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