Molecular identification using flow cytometry histograms and information theory.

Q Zeng; A J Young; A Boxwala; J Rawn; W Long; M Wand; M Salganik; E L Milford; S J Mentzer; R A Greenes

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PubMed · 11825291

Molecular identification using flow cytometry histograms and information theory.

Q Zeng·A J Young·A Boxwala·J Rawn·W Long·M Wand·M Salganik·E L Milford·S J Mentzer·R A Greenes

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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.

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Q Zeng, A J Young, A Boxwala, J Rawn, W Long, M Wand, M Salganik, E L Milford, S J Mentzer, R A Greenes. 2001. Molecular identification using flow cytometry histograms and information theory.. https://pubmed.ncbi.nlm.nih.gov/11825291/

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