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Combining classifiers for improved classification of proteins from sequence or structure
BACKGROUND: Predicting a protein's structural or functional class from its amino acid sequence or structure is a fundamental problem in computational biology. Recently, there has been considerable interest in using discriminative learning algorithms, in particular support vector machines (SVMs)...
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| Hauptverfasser: | , , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
BioMed Central
2008
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2561051/ https://ncbi.nlm.nih.gov/pubmed/18808707 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-9-389 |
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