Flow Cytometry Data Analysis: Basic Concepts and Statistics

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Cambridge University Press, Sep 15, 2005 - Science - 300 pages
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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.
 

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Contents

1 Introduction
1
2 Fundamental concepts
4
3 Probability functions
20
4 Significance testing and fit criteria
31
5 Regression analysis
58
6 Flow cytometric sources of variation
82
7 Immunofluorescence data
101
8 DNA histogram analysis
126
Numerical integrating routine
249
Normal distribution probabilities
250
Variance ratio tables
252
MannWhitney U tables
256
Appendix 5
262
Regression analysis for y on x
265
Appendix 7
266
Appendix 8
269

9 Cellcycle kinetics
145
10 Dynamic cellular events
197
11 Multivariate analysis primer
241
12 Epilogue
246
Appendix 9
272
References
275
Index
285
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