{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,1]],"date-time":"2025-11-01T21:27:26Z","timestamp":1762032446659},"reference-count":0,"publisher":"Oxford University Press (OUP)","issue":"2","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2004,1,22]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Motivation: New high-throughput technologies have accelerated the accumulation of knowledge about genes and proteins. However, much knowledge is still stored as written natural language text. Therefore, we have developed a new method, GAPSCORE, to identify gene and protein names in text. GAPSCORE scores words based on a statistical model of gene names that quantifies their appearance, morphology and context.<\/jats:p>\n               <jats:p>Results: We evaluated GAPSCORE against the Yapex data set and achieved an F-score of 82.5% (83.3% recall, 81.5% precision) for partial matches and 57.6% (58.5% recall, 56.7% precision) for exact matches. Since the method is statistical, users can choose score cutoffs that adjust the performance according to their needs.<\/jats:p>\n               <jats:p>Availability: GAPSCORE is available at http:\/\/bionlp.stanford.edu\/gapscore\/<\/jats:p>","DOI":"10.1093\/bioinformatics\/btg393","type":"journal-article","created":{"date-parts":[[2004,1,20]],"date-time":"2004-01-20T21:07:58Z","timestamp":1074632878000},"page":"216-225","source":"Crossref","is-referenced-by-count":56,"title":["GAPSCORE: finding gene and protein names one word at a time"],"prefix":"10.1093","volume":"20","author":[{"given":"Jeffrey T.","family":"Chang","sequence":"first","affiliation":[]},{"given":"Hinrich","family":"Sch\u00fctze","sequence":"additional","affiliation":[]},{"given":"Russ B.","family":"Altman","sequence":"additional","affiliation":[]}],"member":"286","published-online":{"date-parts":[[2004,1,22]]},"container-title":["Bioinformatics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/academic.oup.com\/bioinformatics\/article-pdf\/20\/2\/216\/48905189\/bioinformatics_20_2_216.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/academic.oup.com\/bioinformatics\/article-pdf\/20\/2\/216\/48905189\/bioinformatics_20_2_216.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,25]],"date-time":"2023-01-25T18:46:30Z","timestamp":1674672390000},"score":1,"resource":{"primary":{"URL":"https:\/\/academic.oup.com\/bioinformatics\/article\/20\/2\/216\/204860"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2004,1,22]]},"references-count":0,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2004,1,22]]}},"URL":"https:\/\/doi.org\/10.1093\/bioinformatics\/btg393","relation":{},"ISSN":["1367-4811","1367-4803"],"issn-type":[{"value":"1367-4811","type":"electronic"},{"value":"1367-4803","type":"print"}],"subject":[],"published-other":{"date-parts":[[2004,1,22]]},"published":{"date-parts":[[2004,1,22]]}}}