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Genome-wide sequence-based prediction of peripheral proteins using a novel semi-supervised learning technique
BACKGROUND: In supervised learning, traditional approaches to building a classifier use two sets of examples with pre-defined classes along with a learning algorithm. The main limitation of this approach is that examples from both classes are required which might be infeasible in certain cases, espe...
| Autores principales: | , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2010
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3009533/ https://www.ncbi.nlm.nih.gov/pubmed/20122235 http://dx.doi.org/10.1186/1471-2105-11-S1-S6 |