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	Provedor de dados Genet. Mol. Biol. (1) Autor Echeverrigaray,Sergio (1) Gerhardt,Günther J.L. (1) Silva,Scheila de Avila e (1) Palavra-chave Neural network (1) Promoter (1) Rule extraction (1) Tipo do documento Info:eu-repo/semantics/article (1) Ano 2011 (1) País Brazil (1) Idioma Inglês (1)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 1 Primeira ... 1 ... Última Rules extraction from neural networks applied to the prediction and recognition of prokaryotic promoters Genet. Mol. Biol. Silva,Scheila de Avila e; Gerhardt,Günther J.L.; Echeverrigaray,Sergio. Promoters are DNA sequences located upstream of the gene region and play a central role in gene expression. Computational techniques show good accuracy in gene prediction but are less successful in predicting promoters, primarily because of the high number of false positives that reflect characteristics of the promoter sequences. Many machine learning methods have been used to address this issue. Neural Networks (NN) have been successfully used in this field because of their ability to recognize imprecise and incomplete patterns characteristic of promoter sequences. In this paper, NN was used to predict and recognize promoter sequences in two data sets: (i) one based on nucleotide sequence information and (ii) another based on stability sequence... Tipo: Info:eu-repo/semantics/article Palavras-chave: Neural network; Promoter; Rule extraction. Ano: 2011 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572011000200031 Registros recuperados: 1 Primeira ... 1 ... Última

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