title: Automatic classification of two-dimensional gel electrophoresis pictures by heuristic clustering analysis: a step toward machine learning.
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.
authors.affiliation: Centre Universitaire d'Informatique, Geneva, Switzerland.
authors.forename: R
authors.initials: R
authors.lastname: Appel
authors.forename: D
authors.initials: D
authors.lastname: Hochstrasser
authors.forename: C
authors.initials: C
authors.lastname: Roch
authors.forename: M
authors.initials: M
authors.lastname: Funk
authors.forename: A F
authors.initials: AF
authors.lastname: Muller
authors.forename: C
authors.initials: C
authors.lastname: Pellegrini
mesh_terms: D000465:Algorithms; D000818:Animals; D001185:Artificial Intelligence; D015180:Electrophoresis, Gel, Two-Dimensional; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D051381:Rats