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Automatic classification of two-dimensional gel electrophoresis pictures by heuristic clustering analysis: a step
R Appel1, D Hochstrasser, C Roch
1Centre Universitaire d'Informatique, Geneva, Switzerland.
Electrophoresis
|March 1, 1988
Abstract:
The interpretation of two-dimensional gel electrophoresis (2-DGE) profiles can be facilitated by artificial intelligence and machine learning programs. We have incorporated into our 2-DGE computer analysis system (termed MELANIE-Medical Electrophoresis Analysis Interactive Expert system) a program which automatically classifies 2-DGE patterns using heuristic clustering analysis. This program is a step toward machine learning. In this publication, we describe the classification method and the preliminary results obtained with liver biopsy electrophoretograms. Heuristic clustering is also compared to other classification techniques.