Non‐Parametric Comparison of Single Parameter Histograms. Issue 1 (18th January 2018)

• Record Type: Journal Article
• Authors: Wood, James C.S.
• Editors: Robinson, J. Paul; Darzynkiewicz, Zbigniew; Hoffman, Robert; Nolan, John P.; Rabinovitch, Peter S.; Watkins, Simon
• Is Part Of: Current protocols in cytometry. Volume 83:Issue 1(2018)
• Page Start: 10.20.1
• Page End: 10.20.20
• Publication Date: 2018-01-18
• Subjects: cumulative subtraction -- Dmax -- histogram analysis -- histogram comparison -- histogram subtraction -- Kolmogorov‐Smirnov test -- K‐S test -- low cytometry -- Overton subtraction; Cytology -- Laboratory manuals; Flow cytometry -- Laboratory manuals; Cell separation -- Laboratory manuals; Molecular biology -- Laboratory manuals; Flow Cytometry -- methods; Image Cytometry -- methods; Cell Separation -- methods; Cytological Techniques; Molecular Biology -- methods; Cell separation; Cytology; Flow cytometry; Molecular biology; Laboratory Manuals; Laboratory manuals; 571.6
• DOI: 10.1002/cpcy.33
• Languages: English
• ISSNs: 1934-9297

Abstract

Abstract: A number of methods have been developed to compare single parameter histograms. Some perform a channel‐by‐channel analysis and others give a single statistic about how the histograms may or may not differ. If they do differ, then the significance of the difference or confidence limit is usually provided. The specific location(s) for the greatest deviations may also be given. Some are more effective at resolving severely overlapping populations and others work poorly when there is any significant overlap. Each method makes certain assumptions about the data. It is important to understand the assumptions being made and to understand the limitations of each method. It is essential to know how to identify when a comparison method will work for a given set of histograms. This unit explores the different methods, and provides a guide for the reader to choose the most appropriate method(s) to use for a specific data set(s). © 2018 by John Wiley & Sons, Inc.