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High-Dimensional Single Cell Analysis electronic resource Mass Cytometry, Multi-parametric Flow Cytometry and Bioinformatic Techniques / edited by Harris G. Fienberg, Garry P. Nolan.

Contributor(s): Fienberg, Harris G [editor.] | Nolan, Garry P [editor.] | SpringerLink (Online service)Material type: TextTextSeries: Current Topics in Microbiology and ImmunologyPublication details: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2014Description: X, 215 p. 68 illus., 67 illus. in color. online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9783642548277Subject(s): medicine | Oncology | Immunology | Bioinformatics | Cytology -- Research_xMethodology | Biomedicine | Immunology | Cancer Research | Biological Techniques | BioinformaticsDDC classification: 616.079 LOC classification: QR180-189.5Online resources: Click here to access online
Contents:
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.
In: Springer eBooksSummary: 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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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.

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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