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008			140422s2014 gw s 000 0 eng d
020			_a9783642548277
024	7		_a10.1007/978-3-642-54827-7 _2doi
050		4	_aQH585 _b.H54 2014 EB
082	0	4	_a616.079
245	1	0	_aHigh-Dimensional Single Cell Analysis : _bMass Cytometry, Multi-parametric Flow Cytometry and Bioinformatic Techniques _cedited by Harris G. Fienberg, Garry P. Nolan
260			_aBerlin, Heidelberg _bSpringer International Publishing _c2014
300			_a1 recurso en línea (X, 215 p.) _b68 ilustraciones, 67 ilustraciones en color
336			_aTexto (visual) _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
490	1		_aCurrent Topics in Microbiology and Immunology _x0070-217X _v377
505	0		_aHigh Dimensional Single Cell Cancer Biology -- Studying the Human Immunome: The Complexity of Comprehensive Leukocyte Immunophenotyping -- High-dimensional Analysis of Human CD8+ T Cell Phenotype, Function and Antigen-Specificity -- Mass Cytometry to Decipher the Mechanism of Non-genetic Drug Resistance in Cancer -- A Practical Guide to Multiplexed Mass Cytometry -- Analysis of Protein Interactions in situ by Proximity Ligation Assays -- Cytobank: Providing an Analytics Platform for Community Cytometry Data Analysis and Collaboration -- Computational Analysis of High-Dimensional Flow Cytometric Data for Diagnosis and Discovery -- Shooting Movies of Signaling Network Dynamics with Multiparametric Cytometry -- Hyperspectral Cytometry
520			_aThis volume highlights the most interesting biomedical and clinical applications of high-dimensional flow and mass cytometry. It reviews current practical approaches used to perform high-dimensional experiments and addresses key bioinformatic techniques for the analysis of data sets involving dozens of parameters in millions of single cells. Topics include single cell cancer biology; studies of the human immunome; exploration of immunological cell types such as CD8+ T cells; decipherment of signaling processes of cancer; mass-tag cellular barcoding; analysis of protein interactions by proximity ligation assays; Cytobank, a platform for the analysis of cytometry data; computational analysis of high-dimensional flow cytometric data; computational deconvolution approaches for the description of intracellular signaling dynamics; and hyperspectral cytometry. All 10 chapters of this book have been written by respected experts in their fields. It is an invaluable reference book for both basic and clinical researchers
942			_2lcc _cLE
988			_aEBOOK, EBSPRINGERrevisando
650		7	_aCitología _xTécnica _9301792 _0comprobar BNE20003593358 _2embne
650	0	7	_aCitología _0LocalV _2embne _9139477
700	1		_aFienberg, Harris G. _eeditor literario _985685 _0Local
700	1		_aNolan, Garry P. _eeditor literario _985686 _0Local
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://link.springer.com/book/10.1007/978-3-642-54827-7 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
907			_a.b12821779 _b10-10-17 _c01-10-14
998			_am _a_alco _a_vill _b09-06-17 _cm _dz _eh _feng _ggw _h0
945			_aQH585 .H54 2014 EB _g1 _ieBOOK _j0 _lmae _o- _pEUR0.00 _q- _r- _sb _t15 _u0 _v0 _w0 _x0 _y.i11550983 _z06-04-17
999			_c76559 _d76559 _x1