High-Dimensional Single Cell Analysis
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 bookfor both basic and clinical researchers.
ISBN: | 9783662512678 |
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Sprache: | Englisch |
Produktart: | Kartoniert / Broschiert |
Herausgeber: | Fienberg, Harris G. Nolan, Garry P. |
Verlag: | Springer Nature EN |
Veröffentlicht: | 23.08.2016 |
Untertitel: | Mass Cytometry, Multi-parametric Flow Cytometry and Bioinformatic Techniques |
Schlagworte: | B Biological Techniques Biologie, Biowissenschaften Biology, life sciences Biology—Technique Biomedical and Life Sciences Cancer Biology Cancer Research DV-gestützte Biologie/Bioinformatik Immunology Information technology: general issues Oncology Scientific equipment, experiments & techniques Wissenschaftliche Ausstattung, Experimente und Techniken bioinformatics molecular biology |