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Proc AMIA Symp. 2001:776-80.

Molecular identification using flow cytometry histograms and information theory.

Author information

1
Decision System Group, Brigham & Women's Hospital, Harvard Medical School, Boston, MA, USA.

Abstract

Flow cytometry is a common technique for quantitatively measuring the expression of individual molecules on cells. The molecular expression is represented by a frequency histogram of fluorescence intensity. For flow cytometry to be used as a knowledge discovery tool to identify unknown molecules, histogram comparison is a major limitation. Many traditional comparison methods do not provide adequate assessment of histogram similarity and molecular relatedness. We have explored a new approach applying information theory to histogram comparison, and tested it with histograms from 14 antibodies over 3 cell types. The information theory approach was able to improve over traditional methods by recognizing various non-random correlations between histograms in addition to similarity and providing a quantitative assessment of similarity beyond hypothesis testing of identity.

PMID:
11825291
PMCID:
PMC2243517
[Indexed for MEDLINE]
Free PMC Article

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