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A novel representation of protein sequences for prediction of subcellular location using support vector machines
As the number of complete genomes rapidly increases, accurate methods to automatically predict the subcellular location of proteins are increasingly useful to help their functional annotation. In order to improve the predictive accuracy of the many prediction methods developed to date, a novel repre...
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| Autors principals: | , , , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Cold Spring Harbor Laboratory Press
2005
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2253224/ https://ncbi.nlm.nih.gov/pubmed/16251364 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1110/ps.051597405 |
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