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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)...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Libertas Academica
2011
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| Materias: | |
| 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 |