Semi-supervised prediction of protein subcellular localization using abstraction augmented Markov models

BACKGROUND: Determination of protein subcellular localization plays an important role in understanding protein function. Knowledge of the subcellular localization is also essential for genome annotation and drug discovery. Supervised machine learning methods for predicting the localization of a prot...

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Detalles Bibliográficos
Autores principales: Caragea, Cornelia, Caragea, Doina, Silvescu, Adrian, Honavar, Vasant
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2010
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2966293/
https://www.ncbi.nlm.nih.gov/pubmed/21034431
http://dx.doi.org/10.1186/1471-2105-11-S8-S6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2966293/
https://www.ncbi.nlm.nih.gov/pubmed/21034431
http://dx.doi.org/10.1186/1471-2105-11-S8-S6

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