High-Dimensional Single Cell Analysis Mass Cytometry, Multi-parametric Flow Cytometry and Bioinformatic Techniques /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Fienberg, Harris G. (Επιμελητής έκδοσης), Nolan, Garry P. (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2014.
• Σειρά: Current Topics in Microbiology and Immunology, 377
• Θέματα: Medicine.; Cancer research.; Immunology.; Bioinformatics.; Biology > Technique.; Biomedicine.; Cancer Research.; Biological Techniques.
• Φυσική περιγραφή: X, 215 p. 68 illus., 67 illus. in color. online resource.
• ISBN: 9783642548277
• ISSN: 0070-217X ;

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.