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007			cr nn 008mamaa
008			140430s2014 xxu| fo |||| 0|eng d
020			_a9781493907090
024	7		_a10.1007/978-1-4939-0709-0 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQH303.6 _b2014 EB
245	0	0	_aBiomedical Literature Mining _cedited by Vinod D. Kumar, Hannah Jane Tipney
250			_a1st edition 2014
264		1	_aNew York, NY _bSpringer International Publishing _c2014
300			_a1 recurso en línea (XII, 288 páginas) _b51 ilustraciones, 36 ilustraciones a color
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_aMethods in Molecular Biology _x1940-6029 _v1159
505	0		_aIntroduction to Biomedical literature text mining: Context and Objectives -- Accessing Biomedical Literature in the Current Information Landscape -- Mapping of Biomedical Text to Concepts of Lexicons, Terminologies and Ontologies -- Drug Interaction Text Mining -- Biological Information Extraction and Co-occurence Analysis: State of the Art and Perspectives -- Roles of Text Mining in Protein Function Prediction -- Functional Molecular Units for Guiding Biomarker Panel Design -- Mining Biological Networks from Full-text Articles -- Scientific Collaboration Networks using Biomedical Text -- Predicting future discoveries from current scientific literature -- Mining Emerging Biomedical Literature for Understanding Disease Associations in Drug Discovery -- Integrating Literature and Data Mining to Rank Disease Candidate Genes -- Role of Text Mining in Early Identification of Potential Drug Safety Issues -- Systematic Drug Repositioning using Text Mining -- Mining the Electronic Health Record for Disease-Specific Knowledge.
520			_aBiomedical Literature Mining,  discusses the multiple facets of modern biomedical literature mining and its many applications in genomics and systems biology. The volume is divided into three sections focusing on information retrieval, integrated text-mining approaches, and domain-specific mining methods. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and key tips on troubleshooting and avoiding known pitfalls.   Authoritative and practical, Biomedical Literature Mining  is  designed as a useful bioinformatics resource in biomedical literature text mining for both those long experienced in, or entirely new to, the field.
988			_aSpringer_Protocols_2014
650		7	_2embne _9138150 _aBiología
776	0	8	_iPrinted edition: _z9781493907106
776	0	8	_iPrinted edition: _z9781493907083
776	0	8	_iPrinted edition: _z9781493954292
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-1-4939-0709-0 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b11/2023 _dz _ean _zSI