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Automatic classification of two‐dimensional gel electrophoresis pictures by heuristic clustering analysis: A step toward machine learning

Automatic classification of two‐dimensional gel electrophoresis pictures by heuristic clustering... 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. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Electrophoresis Wiley

Automatic classification of two‐dimensional gel electrophoresis pictures by heuristic clustering analysis: A step toward machine learning

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References (9)

Publisher
Wiley
Copyright
"Copyright © 1988 Wiley Subscription Services, Inc., A Wiley Company"
ISSN
0173-0835
eISSN
1522-2683
DOI
10.1002/elps.1150090307
pmid
3234347
Publisher site
See Article on Publisher Site

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.

Journal

Electrophoresis – Wiley

Published: Jan 1, 1988

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