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

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Subject
Statistics
Subject Area
Data Analysis
ISBN
9780521019705
類別

關於產品

Product Identifiers

Publisher
Cambridge University Press
ISBN-10
0521019702
ISBN-13
9780521019705
eBay Product ID (ePID)
47547612

Product Key Features

Number of Pages
300 Pages
Publication Name
Flow Cytometry Data Analysis : Basic concepts and Statistics
Language
English
Subject
Life Sciences / Cell Biology, Life Sciences / Developmental Biology
Publication Year
2005
Type
Textbook
Author
James V. Watson
Subject Area
Science
Format
Trade Paperback

Dimensions

Item Height
0.7 in
Item Weight
17 Oz
Item Length
9.1 in
Item Width
6.1 in

Additional Product Features

Intended Audience
Scholarly & Professional
LCCN
2006-271291
Reviews
"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
Dewey Edition
22
Illustrated
Yes
Dewey Decimal
616.07/582
Table Of Content
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.
Synopsis
Flow cytometry produces large quantities of data which must be converted into information. This book, for all those who use cytometers, covers the means by which it must be carried out, namely basic handling concepts, regression analysis, probability functions, statistical tests and methods of analysing dynamic processes., 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.
LC Classification Number
QH324.9.F38 W37 2005

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