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Interpretation of cellular proliferation data: Avoid the panglossian
Author(s) -
Roederer Mario
Publication year - 2011
Publication title -
cytometry part a
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.316
H-Index - 90
eISSN - 1552-4930
pISSN - 1552-4922
DOI - 10.1002/cyto.a.21010
Subject(s) - statistic , computer science , software , statistics , perspective (graphical) , interdependence , interpretation (philosophy) , data science , summary statistics , data mining , artificial intelligence , mathematics , programming language , political science , law
There are several statistics that may be calculated to characterize a cellular proliferation experiment. By far, the most commonly‐reported statistic is the percent of cells in the final culture that have divided; however, this statistic has significant limitations. Other statistics provided by software modeling provide a much richer characterization of the biological response; however, their use also comes with caveats. Here, I discuss the practical application of these statistics, including their limitations and interdependencies, using hypothetical data. The goal of this perspective is to prevent the blind reliance or overly optimistic (“panglossian”) interpretation of the statistics generated by software, so that researchers and reviewers have a more‐informed basis for drawing conclusions from the data. Published 2011 Wiley‐Liss, Inc.