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Automatic extraction of gene/protein biological functions from biomedical text
Author(s) -
Asako Koike,
Yoshiki Niwa,
Toshihisa Takagi
Publication year - 2004
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/bti084
Subject(s) - computer science , parsing , gene , sentence , gene ontology , information extraction , gene family , natural language processing , protein family , artificial intelligence , computational biology , information retrieval , biology , genome , genetics , gene expression
With the rapid advancement of biomedical science and the development of high-throughput analysis methods, the extraction of various types of information from biomedical text has become critical. Since automatic functional annotations of genes are quite useful for interpreting large amounts of high-throughput data efficiently, the demand for automatic extraction of information related to gene functions from text has been increasing.

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