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Techniques to cope with missing data in host–pathogen protein interaction prediction
Motivation: Approaches that use supervised machine learning techniques for protein–protein interaction (PPI) prediction typically use features obtained by integrating several sources of data. Often certain attributes of the data are not available, resulting in missing values. In particular, our host...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2012
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3436802/ https://www.ncbi.nlm.nih.gov/pubmed/22962468 http://dx.doi.org/10.1093/bioinformatics/bts375 |