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Flow Cytometry Data Analysis : Basic Concepts and Statistics - James V. Watson

Flow Cytometry Data Analysis

Basic Concepts and Statistics


Published: 27th November 1992
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This book covers very basic number handling techniques, regression analysis, probability functions, statistical tests and methods of analyzing dynamic processes from flow cytometry data. These are developed for the analysis of not only individual DNA histograms to obtain the proportion of cells in the cell cycle phases, but also time courses of DNA histograms to yield cell cycle kinetic information; overlapping immunofluorescence distributions with confidence limits for the estimated proportions; enzyme kinetic and membrane transport parameters and a brief introduction to multivariate analysis is given. A distinction is made between data handling, for example gating and counting the numbers of cells within that gate, a process commonly regarded as data analysis but which, in reality, is data handling, and data analysis itself which is the means by which information is extracted.

"I recommend this book as an introduction to statistics for the mathematically intimidated and as a gateway into flow cytometry for the mathematically sophisticated...the book should prove useful." Cancer Bulletin

Fundamental concepts
Probability functions
Significance testing and fit criteria
Regression analysis
Flow cytometric sources of variation
Immunofluorescence data
DNA histogram analysis
Cell cycle kinetics
Dynamic cellular events
Multi-variant analysis primer
Table of Contents provided by Publisher. All Rights Reserved.

ISBN: 9780521415453
ISBN-10: 0521415454
Audience: Professional
Format: Hardcover
Language: English
Number Of Pages: 300
Published: 27th November 1992
Publisher: Cambridge University Press
Country of Publication: GB
Dimensions (cm): 22.8 x 15.2  x 2.4
Weight (kg): 0.61