Extracting synonymous gene and protein terms from biological literature. Yu, H. & Agichtein, E. Bioinformatics, 19(Suppl 1):i340–i349, July, 2003. Paper doi abstract bibtex MOTIVATION: Genes and proteins are often associated with multiple names. More names are added as new functional or structural information is discovered. Because authors can use any one of the known names for a gene or protein, information retrieval and extraction would benefit from identifying the gene and protein terms that are synonyms of the same substance. RESULTS: We have explored four complementary approaches for extracting gene and protein synonyms from text, namely the unsupervised, partially supervised, and supervised machine-learning techniques, as well as the manual knowledge-based approach. We report results of a large scale evaluation of these alternatives over an archive of biological journal articles. Our evaluation shows that our extraction techniques could be a valuable supplement to resources such as SWISSPROT, as our systems were able to capture gene and protein synonyms not listed in the SWISSPROT database.
@article{yu_extracting_2003,
title = {Extracting synonymous gene and protein terms from biological literature},
volume = {19},
issn = {1367-4803, 1460-2059},
url = {https://academic.oup.com/bioinformatics/article-lookup/doi/10.1093/bioinformatics/btg1047},
doi = {10.1093/bioinformatics/btg1047},
abstract = {MOTIVATION:
Genes and proteins are often associated with multiple names. More names are added as new functional or structural information is discovered. Because authors can use any one of the known names for a gene or protein, information retrieval and extraction would benefit from identifying the gene and protein terms that are synonyms of the same substance.
RESULTS:
We have explored four complementary approaches for extracting gene and protein synonyms from text, namely the unsupervised, partially supervised, and supervised machine-learning techniques, as well as the manual knowledge-based approach. We report results of a large scale evaluation of these alternatives over an archive of biological journal articles. Our evaluation shows that our extraction techniques could be a valuable supplement to resources such as SWISSPROT, as our systems were able to capture gene and protein synonyms not listed in the SWISSPROT database.},
language = {en},
number = {Suppl 1},
urldate = {2016-11-30},
journal = {Bioinformatics},
author = {Yu, H. and Agichtein, E.},
month = jul,
year = {2003},
pmid = {12855479},
keywords = {Abstracting and Indexing/*methods/standards Acetaminophen Algorithms Biology/methods/standards Computational Biology/methods/standards Database Management Systems *Databases, Bibliographic Documentation *Genes Information Storage and Retrieval/methods/standards *Natural Language Processing *Periodicals *Proteins Research Support, Controlled, Non-P.H.S. *Terminology Vocabulary, U.S. Gov't},
pages = {i340--i349},
}
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RESULTS: We have explored four complementary approaches for extracting gene and protein synonyms from text, namely the unsupervised, partially supervised, and supervised machine-learning techniques, as well as the manual knowledge-based approach. We report results of a large scale evaluation of these alternatives over an archive of biological journal articles. Our evaluation shows that our extraction techniques could be a valuable supplement to resources such as SWISSPROT, as our systems were able to capture gene and protein synonyms not listed in the SWISSPROT database.","language":"en","number":"Suppl 1","urldate":"2016-11-30","journal":"Bioinformatics","author":[{"propositions":[],"lastnames":["Yu"],"firstnames":["H."],"suffixes":[]},{"propositions":[],"lastnames":["Agichtein"],"firstnames":["E."],"suffixes":[]}],"month":"July","year":"2003","pmid":"12855479","keywords":"Abstracting and Indexing/*methods/standards Acetaminophen Algorithms Biology/methods/standards Computational Biology/methods/standards Database Management Systems *Databases, Bibliographic Documentation *Genes Information Storage and Retrieval/methods/standards *Natural Language Processing *Periodicals *Proteins Research Support, Controlled, Non-P.H.S. *Terminology Vocabulary, U.S. Gov't","pages":"i340–i349","bibtex":"@article{yu_extracting_2003,\n\ttitle = {Extracting synonymous gene and protein terms from biological literature},\n\tvolume = {19},\n\tissn = {1367-4803, 1460-2059},\n\turl = {https://academic.oup.com/bioinformatics/article-lookup/doi/10.1093/bioinformatics/btg1047},\n\tdoi = {10.1093/bioinformatics/btg1047},\n\tabstract = {MOTIVATION:\nGenes and proteins are often associated with multiple names. More names are added as new functional or structural information is discovered. Because authors can use any one of the known names for a gene or protein, information retrieval and extraction would benefit from identifying the gene and protein terms that are synonyms of the same substance.\n\nRESULTS:\nWe have explored four complementary approaches for extracting gene and protein synonyms from text, namely the unsupervised, partially supervised, and supervised machine-learning techniques, as well as the manual knowledge-based approach. We report results of a large scale evaluation of these alternatives over an archive of biological journal articles. 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