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Learning sparse models for a dynamic Bayesian network classifier of protein secondary structure
BACKGROUND: Protein secondary structure prediction provides insight into protein function and is a valuable preliminary step for predicting the 3D structure of a protein. Dynamic Bayesian networks (DBNs) and support vector machines (SVMs) have been shown to provide state-of-the-art performance in se...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2011
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3118164/ https://www.ncbi.nlm.nih.gov/pubmed/21569525 http://dx.doi.org/10.1186/1471-2105-12-154 |