Molecular identification using flow cytometry histograms and information theory.
Proc AMIA Symp
; : 776-80, 2001.
Article
em En
| MEDLINE
| ID: mdl-11825291
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.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Distribuições Estatísticas
/
Citometria de Fluxo
/
Teoria da Informação
Tipo de estudo:
Diagnostic_studies
Limite:
Animals
Idioma:
En
Revista:
Proc AMIA Symp
Assunto da revista:
INFORMATICA MEDICA
Ano de publicação:
2001
Tipo de documento:
Article
País de afiliação:
Estados Unidos