Premium
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.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom