أعرض تسجيلة المادة بشكل مبسط

dc.creator Krallinger, Martin
dc.creator Valencia, Alfonso
dc.date 2008-04-08T10:34:32Z
dc.date 2008-04-08T10:34:32Z
dc.date 2005-06-28
dc.date.accessioned 2017-01-31T01:01:37Z
dc.date.available 2017-01-31T01:01:37Z
dc.identifier Genome Biology 2005, 6:224
dc.identifier 1465-6914
dc.identifier http://hdl.handle.net/10261/3470
dc.identifier 10.1186/gb-2005-6-7-224
dc.identifier.uri http://dspace.mediu.edu.my:8181/xmlui/handle/10261/3470
dc.description The electronic version of this article is the complete one and can be found online at http://genomebiology.com/2005/6/7/224
dc.description Text-mining in molecular biology - defined as the automatic extraction of information about genes, proteins and their functional relationships from text documents - has emerged as a hybrid discipline on the edges of the fields of information science, bioinformatics and computational linguistics. A range of text-mining applications have been developed recently that will improve access to knowledge for biologists and database annotators.
dc.description The work of our group was supported by grants from the European Commission (ORIEL IST-2001-32688, TEMBLOR QLRT-2001-00015, Biosapiens LSHC-CT-2003-505265).
dc.description Peer reviewed
dc.format 725407 bytes
dc.format application/pdf
dc.language eng
dc.publisher BioMed Central
dc.relation Publisher’s version
dc.rights openAccess
dc.subject Bioinformatics
dc.subject Methods
dc.title Text-mining and information-retrieval services for molecular biology
dc.type Artículo


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أعرض تسجيلة المادة بشكل مبسط