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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Detalles Bibliográficos
Autores principales: Kuksa, Pavel, Huang, Pai-Hsi, Pavlovic, Vladimir
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2009
Materias:
Proceedings
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2681072/
https://www.ncbi.nlm.nih.gov/pubmed/19426450
http://dx.doi.org/10.1186/1471-2105-10-S4-S2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2681072/
https://www.ncbi.nlm.nih.gov/pubmed/19426450
http://dx.doi.org/10.1186/1471-2105-10-S4-S2

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