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000698084 0167_ $$a016724673$$2Uk
000698084 020__ $$a9783642548277 $$qelectronic book
000698084 020__ $$a364254827X $$qelectronic book
000698084 020__ $$z9783642548260
000698084 0247_ $$a10.1007/978-3-642-54827-7$$2doi
000698084 035__ $$aSP(OCoLC)ocn879263648
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000698084 08204 $$a571.6$$223
000698084 24500 $$aHigh-dimensional single cell analysis$$h[electronic resource] :$$bmass cytometry, multi-parametric flow cytometry and bioinformatic techniques /$$cHarris G. Fienberg, Garry P. Nolan, editors.
000698084 264_1 $$aHeidelberg :$$bSpringer,$$c2014.
000698084 300__ $$a1 online resource (x, 215 pages) :$$billustrations (some color).
000698084 336__ $$atext$$btxt$$2rdacontent
000698084 337__ $$acomputer$$bc$$2rdamedia
000698084 338__ $$aonline resource$$bcr$$2rdacarrier
000698084 4901_ $$aCurrent Topics in Microbiology and Immunology,$$x0070-217X ;$$vvolume 377
000698084 500__ $$aIncludes index.
000698084 5050_ $$aHigh Dimensional Single Cell Cancer Biology -- Studying the Human Immunome: The Complexity of Comprehensive Leukocyte Immunophenotyping -- High-dimensional Analysis of Human CD8+ T Cell Phenotype, Function and Antigen-Specificity -- Mass Cytometry to Decipher the Mechanism of Non-genetic Drug Resistance in Cancer -- A Practical Guide to Multiplexed Mass Cytometry -- Analysis of Protein Interactions in situ by Proximity Ligation Assays -- Cytobank: Providing an Analytics Platform for Community Cytometry Data Analysis and Collaboration -- Computational Analysis of High-Dimensional Flow Cytometric Data for Diagnosis and Discovery -- Shooting Movies of Signaling Network Dynamics with Multiparametric Cytometry -- Hyperspectral Cytometry.
000698084 506__ $$aAccess limited to authorized users.
000698084 520__ $$aThis volume highlights the most interesting biomedical and clinical applications of high-dimensional flow and mass cytometry. It reviews current practical approaches used to perform high-dimensional experiments and addresses key bioinformatic techniques for the analysis of data sets involving dozens of parameters in millions of single cells. Topics include single cell cancer biology; studies of the human immunome; exploration of immunological cell types such as CD8+ T cells; decipherment of signaling processes of cancer; mass-tag cellular barcoding; analysis of protein interactions by proximity ligation assays; Cytobank, a platform for the analysis of cytometry data; computational analysis of high-dimensional flow cytometric data; computational deconvolution approaches for the description of intracellular signaling dynamics; and hyperspectral cytometry. All 10 chapters of this book have been written by respected experts in their fields. It is an invaluable reference book for both basic and clinical researchers.
000698084 588__ $$aDescription based on online resource; title from PDF title page (SpringerLink, viewed May 6, 2014).
000698084 650_0 $$aCytometry.
000698084 650_0 $$aBioinformatics.
000698084 650_0 $$aComputational biology.
000698084 7001_ $$aFienberg, Harris G.,$$eeditor.
000698084 7001_ $$aNolan, Garry P.,$$eeditor.
000698084 830_0 $$aCurrent topics in microbiology and immunology ;$$vv.377.$$x0070-217X
000698084 852__ $$bebk
000698084 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://dx.doi.org/10.1007/978-3-642-54827-7$$zOnline Access
000698084 909CO $$ooai:library.usi.edu:698084$$pGLOBAL_SET
000698084 980__ $$aEBOOK
000698084 980__ $$aBIB
000698084 982__ $$aEbook
000698084 983__ $$aOnline
000698084 994__ $$a92$$bISE