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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...

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Detalles Bibliográficos
Autores principales: Bhardwaj, Nitin, Gerstein, Mark, Lu, Hui
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2010
Materias:
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

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