Description: Flow Cytometry Data Analysis Basic Concepts and Statistics Shows how various categories of flow-cytometry data can be analysed to produce useful information. James V. Watson (Author) 9780521019705, Cambridge University Press Paperback / softback, published 15 September 2005 300 pages 23 x 15.5 x 1.9 cm, 0.483 kg "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 Flow cytometry is now well established in research laboratories and is gaining increasing use in clinical medicine and pathology. The technique enables multiple simultaneous light scatter and fluorescence measurements to be made at the individual cell level at very rapid rates and results in very large quantities of data being collected. Data, however, is just a series of numbers which have to be converted to information which, in turn, must be shown to have meaning. This is the most important single aspect of flow cytometry but it has received relatively little attention. One of the frequently voiced advantages of the technology is that it produces 'good statistics' because large numbers of cells have been analysed. However, it is not very often that confidence limits are placed on results, hence the reader has little or no feel for the inherent variability in the information produced. This book covers very basic number handling techniques, regression analysis, probability functions, statistical tests and methods of analysing dynamic processes. All those who use flow cytometry in their research will find this book an invaluable guide to interpreting the data produced by flow cytometers. 1. Introduction 2. Fundamental concepts 3. Probability functions 4. Significance testing and fit criteria 5. Regression analysis 6. Flow cytometric sources of variation 7. Immunofluorescence data 8. DNA histogram analysis 9. Cell cycle kinetics 10. Dynamic cellular events 11. Multi-variant analysis primer 12. Epilogue Appendices References Index. Subject Areas: Scientific equipment, experiments & techniques [PDN]
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BIC Subject Area 1: Scientific equipment, experiments & techniques [PDN]
Number of Pages: 300 Pages
Language: English
Publication Name: Flow Cytometry Data Analysis: Basic Concepts and Statistics
Publisher: Cambridge University Press
Publication Year: 2005
Subject: Science, Biology
Item Height: 230 mm
Item Weight: 483 g
Type: Textbook
Author: James V. Watson
Item Width: 155 mm
Format: Paperback