Band Correction in Random Amplified Polymorphism DNA Images Using Hybrid Genetic Algorithms with Multilevel Thresholding

Gárate, O. Carolina; Pinninghoff, J. M. Angélica; Contreras, A Ricardo

doi:10.1007/978-3-642-21326-7_46

Cited by 2 publications

(1 citation statement)

References 13 publications

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“…Some research studies can be highlighted that are related to DGGE image treatment; one study describes some methods to improve the quality of DGGE image presentation with respect to band appearance using pure genetic algorithms and genetic algorithms with tabu search [Pinninghoff et al 2014]. Other studies only correct how the lanes and bands appear as described by nombrar autor [Gárate et al 2011]. However, these authors only used RAPD images to evaluate how the technique performs and combined the genetic algorithm technique with tabu search and thresholding.…”

Section: Related Researchmentioning

confidence: 99%

Band detection in DGGE images using connectionist models and evolutionary computation, a first approximation

Figueroa

Alvear

Angélica

2016

2016 XLII Latin American Computing Conference (CLEI)

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Abstract. Current research shows the development of a first approximation algorithm of Denaturing Gradient Gel Electrophoresis (DGGE) band image identification. The proposed algorithm considered the use of artificial neural networks based on deformable connectionist models subjected to an evolutionary algorithm.Resumo. A pesquisa atual mostra o desenvolvimento de um primeiro algoritmo de aproximação da identificação da imagem da banda da eletroforese de gel de gradiente desnaturante (DGGE). O algoritmo proposto considerou o uso de redes neurais artificiais baseadas em modelos de conexão deformáveis submetidos a um algoritmo evolutivo.

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Section: Related Researchmentioning

confidence: 99%