Appel R, Hochstrasser D, Roch C, Funk M, Muller A F, Pellegrini C
Centre Universitaire d'Informatique, Geneva, Switzerland.
Electrophoresis. 1988 Mar;9(3):136-42. doi: 10.1002/elps.1150090307.
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.
人工智能和机器学习程序有助于二维凝胶电泳（2-DGE）图谱的解读。我们已将一个使用启发式聚类分析自动对2-DGE图谱进行分类的程序纳入我们的2-DGE计算机分析系统（称为MELANIE - 医学电泳分析交互式专家系统）。该程序是迈向机器学习的一步。在本出版物中，我们描述了分类方法以及用肝活检电泳图获得的初步结果。还将启发式聚类与其他分类技术进行了比较。
