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Protein-protein interaction prediction using a hybrid feature representation and a stacked generalization scheme
BACKGROUND: Although various machine learning-based predictors have been developed for estimating protein–protein interactions, their performances vary with dataset and species, and are affected by two primary aspects: choice of learning algorithm, and the representation of protein pairs. To improve...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2019
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6558856/ https://www.ncbi.nlm.nih.gov/pubmed/31182027 http://dx.doi.org/10.1186/s12859-019-2907-1 |