Molecular identification using flow cytometry histograms and information theory.
Year: 2001
Type: article
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.
Source: Europe PMC (PubMed Central)
Authors: Q Zeng, A J Young, A Boxwala, J Rawn, W Long, M Wand, M Salganik, E L Milford, S J Mentzer, R A Greenes
Institutions: Brigham and Women's Hospital, Harvard University
Language: English
Subfield: Biophysics
Domain: Life Sciences
Open Access status: green
OpenAlex ID: W183134241