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Efficient use of unlabeled data for protein sequence classification: a comparative study
BACKGROUND: Recent studies in computational primary protein sequence analysis have leveraged the power of unlabeled data. For example, predictive models based on string kernels trained on sequences known to belong to particular folds or superfamilies, the so-called labeled data set, can attain signi...
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| Autores principales: | , , |
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| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
BioMed Central
2009
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2681072/ https://ncbi.nlm.nih.gov/pubmed/19426450 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-10-S4-S2 |
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