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Protein Secondary Structure Prediction Based on Data Partition and Semi-Random Subspace Method
Protein secondary structure prediction is one of the most important and challenging problems in bioinformatics. Machine learning techniques have been applied to solve the problem and have gained substantial success in this research area. However there is still room for improvement toward the theoret...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Nature Publishing Group UK
2018
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6026213/ https://www.ncbi.nlm.nih.gov/pubmed/29959372 http://dx.doi.org/10.1038/s41598-018-28084-8 |