Cell Biochemistry Martinsried
2. Goal: It was the goal of this work to utilize all available information in an attempt to clinically stage HIV patients.
3. CLASSIF1 Data Pattern Classification: standardized and automated classification of two or three color immunophenotype measurements with the CLASSIF1 program system.
4. Conclusion The results indicate that individual patient staging is possible by simultaneous consideration of all lympho-, mono- and granulocyte immunophenotype properties. It is also possible to discriminate seronegative persons with a risk life style from normal individuals. This may permit to screen for an increased susceptibility to HIV infection by clinical cytomics.
L1 G.Valet, H.Kahle, F.Otto, E.Bräutigam, L.Kestens (2001) Prediction and precise diagnosis of diseases by data pattern analysis in multiparameter flow cytometry: Melanoma, Juvenile Asthma, HIV Infection. in: Cytometry (3rd edition) eds: Z.Darzynkiewicz, J.P. Robinson, H.A. Crissman, Academic Press, San Diego, Methods Cell Biology 64:487-508
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