{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2023,10,2]],"date-time":"2023-10-02T18:33:58Z","timestamp":1696271638092},"reference-count":8,"publisher":"Hindawi Limited","license":[{"start":{"date-parts":[[2012,1,1]],"date-time":"2012-01-01T00:00:00Z","timestamp":1325376000000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/3.0\/"}],"funder":[{"name":"NSF CAREER","award":["CCF-0845888","CCF-0939370"],"award-info":[{"award-number":["CCF-0845888","CCF-0939370"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Computational and Mathematical Methods in Medicine"],"published-print":{"date-parts":[[2012]]},"abstract":"<jats:p>Identifying molecular biomarkers has become one of the important tasks for scientists to assess the different phenotypic states of cells or organisms correlated to the genotypes of diseases from large-scale biological data. In this paper, we proposed a text-mining-based method to discover biomarkers from PubMed. First, we construct a database based on a dictionary, and then we used a finite state machine to identify the biomarkers. Our method of text mining provides a highly reliable approach to discover the biomarkers in the PubMed database.<\/jats:p>","DOI":"10.1155\/2012\/135780","type":"journal-article","created":{"date-parts":[[2012,11,11]],"date-time":"2012-11-11T21:00:50Z","timestamp":1352667650000},"page":"1-4","source":"Crossref","is-referenced-by-count":3,"title":["Biomarker Identification Using Text Mining"],"prefix":"10.1155","volume":"2012","author":[{"given":"Hui","family":"Li","sequence":"first","affiliation":[{"name":"Department of Systems and Computer Science, Howard University, Washington, DC 20059, USA"}]},{"given":"Chunmei","family":"Liu","sequence":"additional","affiliation":[{"name":"Department of Systems and Computer Science, Howard University, Washington, DC 20059, USA"}]}],"member":"98","reference":[{"issue":"5","key":"1","first-page":"589","volume":"2","year":"2012","journal-title":"American Journal of Cancer Research"},{"key":"2","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2012.07.011"},{"key":"3","doi-asserted-by":"publisher","DOI":"10.1111\/j.1872-034X.2012.01076.x"},{"key":"4","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2011.2161999"},{"key":"5"},{"key":"6","doi-asserted-by":"publisher","DOI":"10.1093\/nar\/gki033"},{"key":"7"},{"key":"10","doi-asserted-by":"publisher","DOI":"10.1101\/gr.1239303"}],"container-title":["Computational and Mathematical Methods in Medicine"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/downloads.hindawi.com\/journals\/cmmm\/2012\/135780.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/cmmm\/2012\/135780.xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/cmmm\/2012\/135780.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2016,8,2]],"date-time":"2016-08-02T16:22:17Z","timestamp":1470154937000},"score":1,"resource":{"primary":{"URL":"http:\/\/www.hindawi.com\/journals\/cmmm\/2012\/135780\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2012]]},"references-count":8,"alternative-id":["135780","135780"],"URL":"https:\/\/doi.org\/10.1155\/2012\/135780","relation":{},"ISSN":["1748-670X","1748-6718"],"issn-type":[{"value":"1748-670X","type":"print"},{"value":"1748-6718","type":"electronic"}],"subject":[],"published":{"date-parts":[[2012]]}}}