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007			cr nn 008mamaa
008			161102s2016 si | s |||| 0|eng d
020			_a9789811015038
024	7		_a10.1007/978-981-10-1503-8 _2doi
040			_aES-MaUEC
050		4	_aR858 _b.T73 2016 EB
245	0	0	_aTranslational biomedical informatics : _ba precision medicine perspective _cedited by Bairong Shen, Haixu Tang, Xiaoqian Jiang
260			_aSingapore _bSpringer _c2016
300			_a1 recurso en línea (VI, 332 p.) _b93 ilustraciones, 44 ilustraciones en color
336			_aTexto (visual) _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
490	1		_aAdvances in Experimental Medicine and Biology _x0065-2598 _v939
505	0		_aNGS for sequence variants (HVP) -- RNA Bioinformatics for Precision Medicine -- Exploring Human Diseases and Biological Mechanisms by Protein Structure Prediction and Modeling -- Computational methods in mass spectrometry based proteomics -- Informatics for Metabolomics -- Metagenomics and Single-cell Omics Data Analysis for Human Microbiome Research -- Text Mining for Precision Medicine: Bringing structure to EHRs and biomedical literature to understand genes and health -- Medical Imaging Informatics -- LIMS and clinical data management -- Biobanks and their clinical application and informatics challenges -- Methods to Improve Distributed Analysis in Biomedical Informatics -- XML, ontologies, and their clinical applications -- Bayesian Computation Methods for Inferring Regulatory Network Models Using Biomedical Data -- Network-based Biomedical Data Analysis
520			_aThis book introduces readers to essential methods and applications in translational biomedical informatics, which include biomedical big data, cloud computing and algorithms for understanding omics data, imaging data, electronic health records and public health data. The storage, retrieval, mining and knowledge discovery of biomedical big data will be among the key challenges for future translational research. The paradigm for precision medicine and healthcare needs to integratively analyze not only the data at the same level - e.g. different omics data at the molecular level - but also data from different levels - the molecular, cellular, tissue, clinical and public health level. This book discusses the following major aspects: the structure of cross-level data; clinical patient information and its shareability; and standardization and privacy. It offers a valuable guide for all biologists, biomedical informaticians and clinicians with an interest in Precision Medicine Informatics
650	0	7	_aInformática médica _2embne _9421154
650	0	4	_aInteligencia artificial en medicina _9421371
650		7	_aBioinformática _0comprobar BNE20022028248 _2embne _9160489
700	1		_aShen, Bairong _eeditor literario _0Local _986302
700	1		_aTang, Haixu _eeditor literario _9101945 _0Local
700	1		_aJiang, Xiaoqian _eeditor literario _9101946 _0Local
830		0	_aAdvances in Experimental Medicine and Biology _x0065-2598 _v939 _0http://id.loc.gov/authorities/names/n42001229 _9133153
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://link.springer.com/book/10.1007/978-981-10-1503-8 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
901			_ai97898110150
907			_a.b12982970 _b10-10-17 _c08-03-17
942			_2lcc _cLE
945			_aR858 .T73 2016 EB _g1 _ieBOOK _j0 _lmae _o- _pEUR0.00 _q- _r- _sb _t15 _u0 _v0 _w0 _x0 _y.i11604815 _z06-04-17
988			_aEBOOK, EBSPRINGER
998			_am _a_alco _a_vill _b20-06-17 _cm _dz _eb _feng _gsi _h0