Flow Cytometry Data Analysis (Hardcover)

James V. Watson

ISBN 10: 0521415454 / ISBN 13: 9780521415453

Published by Cambridge University Press, Cambridge, 1992

About this Item

Hardcover. 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. 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. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Seller Inventory # 9780521415453

Bibliographic Details

• Title: Flow Cytometry Data Analysis (Hardcover)
• Publisher: Cambridge University Press, Cambridge
• Publication Date: 1992
• Language: English
• ISBN 10: 0521415454
• ISBN 13: 9780521415453
• Binding: Hardcover
• Edition: 1st Edition
• Condition: new

About this title

Synopsis

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.

Book Description

This book covers the means by which large quantities of data from flow cytometers can be converted into usable information, mainly by basic number handling concepts, regression analysis, probability functions, statistical tests, and methods of analysing dynamic processes.