Automatic classification of two-dimensional gel electrophoresis pictures by heuristic clustering
|Published in||Electrophoresis. 1988, vol. 9, no. 3, p. 136-142|
|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.|
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|Research groups||Computer Vision and Multimedia Laboratory|
Multimodal Interaction Group
|APPEL, Ron David et al. Automatic classification of two-dimensional gel electrophoresis pictures by heuristic clustering. In: Electrophoresis, 1988, vol. 9, n° 3, p. 136-142. doi: 10.1002/elps.1150090307 https://archive-ouverte.unige.ch/unige:47713|