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Prediction of Functional Class of Proteins and Peptides Irrespective of Sequence Homology by Support Vector Machines
Various computational methods have been used for the prediction of protein and peptide function based on their sequences. A particular challenge is to derive functional properties from sequences that show low or no homology to proteins of known function. Recently, a machine learning method, support...
| Autores principales: | , , , , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
Libertas Academica
2009
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2789692/ https://www.ncbi.nlm.nih.gov/pubmed/20066123 |