High-Dimensional Single Cell Analysis
Harris G. Fienberg
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at 250 WPM3h 35m
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High-Dimensional Single Cell Analysis
by Harris G. Fienberg, Garry P. Nolan
Published
2014
Publisher
Springer Berlin / Heidelberg
Pages
215
ISBN-13
9783642548260
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.
Subjects
International Review of Cell and Molecular Biology
Molecular Biology of the Cell
International review of cytology
Essential Cell Biology
Cell and Molecular Biology
Molecular biology of the gene
Frequently Asked Questions
How many pages are in High-Dimensional Single Cell Analysis?
This edition of High-Dimensional Single Cell Analysis has approximately 215 pages. Please note, this is an estimate and the exact page count can vary between hardcover, paperback, and e-book versions.
How long does it take to read High-Dimensional Single Cell Analysis?
For most readers, High-Dimensional Single Cell Analysis typically takes between 4h 29m and 2h 59m to complete. This is based on the book's length of approximately 53,750 words and common reading speeds.
Here's a detailed breakdown: • Continuous reading at 250 WPM: approximately 3h 35m of focused reading • Casual reading (30 minutes/day): you could finish in roughly 8 days • Estimated word count: 53,750 words
Your individual reading time will vary based on your personal reading pace, the amount of daily reading time, and your familiarity with the subject matter.
What is the word count of High-Dimensional Single Cell Analysis?
The estimated word count for High-Dimensional Single Cell Analysis is approximately 53,750 words. This figure is calculated using industry-standard methods that consider genre-specific word density patterns, typical formatting and layout characteristics, and standard words-per-page ratios for published books.
This is an approximation — actual word count may vary based on font size, formatting, edition, and the presence of illustrations or charts.
Who is the author of High-Dimensional Single Cell Analysis?
High-Dimensional Single Cell Analysis was written by Harris G. Fienberg, Garry P. Nolan.
When was High-Dimensional Single Cell Analysis published?
The publication date for this specific edition is 2014. The original work may have been published on a different date.