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The MELANIE project: From a biopsy to automatic protein map interpretation by computer
Author(s) -
Appel Ron D.,
Hochstrasser Denis F.,
Funk Matthieu,
Vargas J. Reynaldo,
Pellegrini Christian,
Muller Alex F.,
Scherrer JeanRaoul
Publication year - 1991
Publication title -
electrophoresis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.666
H-Index - 158
eISSN - 1522-2683
pISSN - 0173-0835
DOI - 10.1002/elps.1150121006
Subject(s) - computer science , interpretation (philosophy) , set (abstract data type) , artificial intelligence , cirrhosis , pattern recognition (psychology) , medical diagnosis , data set , resolution (logic) , pathology , medicine , programming language
The goals of the MELANIE project are to determine if disease‐associated patterns can be detected in high resolution two‐dimensional polyacrylamide gel electrophoresis (HR 2D‐PAGE) images and if a diagnosis can be established automatically by computer. The ELSIE/MELANIE system is a set of computer programs which automatically detect, quantify, and compare protein spots shown on HR 2D‐PAGE images. Classification programs help the physician to find disease‐associated patterns from a given set of two‐dimensional gel electrophoresis images and to form diagnostic rules. Prototype expert systems that use these rules to establish a diagnosis from new HR 2D‐PAGE images have been developed. They successfully diagnosed cirrhosis of the liver and were able to distinguish a variety of cancer types from biopsies known to be cancerous.