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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