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Profiles and Majority Voting-Based Ensemble Method for Protein Secondary Structure Prediction

Machine learning techniques have been widely applied to solve the problem of predicting protein secondary structure from the amino acid sequence. They have gained substantial success in this research area. Many methods have been used including k-Nearest Neighbors (k-NNs), Hidden Markov Models (HMMs)...

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Detalles Bibliográficos
Autores principales:	Bouziane, Hafida, Messabih, Belhadri, Chouarfia, Abdallah
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Libertas Academica 2011
Materias:	Original Research
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3204938/ https://www.ncbi.nlm.nih.gov/pubmed/22058650 http://dx.doi.org/10.4137/EBO.S7931

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