High-Dimensional Single Cell Analysis

Mass Cytometry, Multi-parametric Flow Cytometry and Bioinformatic Techniques de

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Éditeur :

Springer


Collection :

Current Topics in Microbiology and Immunology

Paru le : 2014-04-22

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Description

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.
Pages
215 pages
Collection
Current Topics in Microbiology and Immunology
Parution
2014-04-22
Marque
Springer
EAN papier
9783642548260
EAN EPUB
9783642548277

Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
21
Taille du fichier
3779 Ko
Prix
147,69 €