Pairwise matching of spots in 2-DE images using hopfield network

Authors:
Young-Sup Hwang;Hoon Park;Yoojin Chung
Affiliations:
Division of Computer & Information, Sun Moon University, Asan, Korea;Division of Computer & Information, Sun Moon University, Asan, Korea;Dept. of Computer Engineering, Hankuk Univ. of Foreign Studies, Yongin Kyounggi-do, Korea
Venue:
MDAI'05 Proceedings of the Second international conference on Modeling Decisions for Artificial Intelligence
Year:
2005

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Abstract

Matching spots between two-dimensional electrophoresis (2-DE) images is a bottleneck in the automation of proteome analysis. Because the matching problem is an NP-hard problem, the solution is usually a heuristic approach or a neural network method. So a Hopfield neural network approach is applied to solve this problem. An energy function is designed to represent the similarity of spots together with its neighbor spots. Experiment showed that Hopfield neural network with appropriate energy function and dynamics could solve the matching problem of spots in 2-DE images.