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High-performance gene name normalization with GeNo
Author(s) -
Joachim Wermter,
Katrin Tomanek,
Udo Hahn
Publication year - 2009
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/btp071
Subject(s) - normalization (sociology) , computer science , named entity recognition , gene nomenclature , profiling (computer programming) , natural language processing , biomedicine , software , artificial intelligence , data mining , task (project management) , bioinformatics , taxonomy (biology) , biology , programming language , botany , management , sociology , anthropology , nomenclature , economics
The recognition and normalization of textual mentions of gene and protein names is both particularly important and challenging. Its importance lies in the fact that they constitute the crucial conceptual entities in biomedicine. Their recognition and normalization remains a challenging task because of widespread gene name ambiguities within species, across species, with common English words and with medical sublanguage terms.

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