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03627nam a22005175i 4500 |
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|a 9783642548277
|9 978-3-642-54827-7
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|a 10.1007/978-3-642-54827-7
|2 doi
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|a 616.079
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|a High-Dimensional Single Cell Analysis
|h [electronic resource] :
|b Mass Cytometry, Multi-parametric Flow Cytometry and Bioinformatic Techniques /
|c edited by Harris G. Fienberg, Garry P. Nolan.
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|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg :
|b Imprint: Springer,
|c 2014.
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|a X, 215 p. 68 illus., 67 illus. in color.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
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|a text file
|b PDF
|2 rda
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|a Current Topics in Microbiology and Immunology,
|x 0070-217X ;
|v 377
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|a High 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.
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|a This 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.
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|a Medicine.
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|a Cancer research.
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|a Immunology.
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|a Bioinformatics.
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|a Biology
|x Technique.
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|a Biomedicine.
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|a Immunology.
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|a Cancer Research.
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|a Biological Techniques.
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650 |
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|a Bioinformatics.
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700 |
1 |
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|a Fienberg, Harris G.
|e editor.
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700 |
1 |
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|a Nolan, Garry P.
|e editor.
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710 |
2 |
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|a SpringerLink (Online service)
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773 |
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|t Springer eBooks
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776 |
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8 |
|i Printed edition:
|z 9783642548260
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830 |
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|a Current Topics in Microbiology and Immunology,
|x 0070-217X ;
|v 377
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856 |
4 |
0 |
|u http://dx.doi.org/10.1007/978-3-642-54827-7
|z Full Text via HEAL-Link
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912 |
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|a ZDB-2-SBL
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950 |
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|a Biomedical and Life Sciences (Springer-11642)
|