Band Detection in DGGE Images Using Connectionist Models and Evolutionary Computation: First Approximation

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Carola Andrea Figueroa Flores
Cristopher Alvear
Angélica Caro

Abstract

Current research shows the development of a first approximation algorithm ofDenaturing Gradient Gel Electrophoresis (DGGE) band image identification.The proposed algorithm considered the use of artificial neural networks basedon deformable connectionist models subjected to an evolutionary algorithm.

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