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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...
| Autores principales: | , , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2010
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| Materias: | |
| 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 |