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Combining multiple positive training sets to generate confidence scores for protein–protein interactions
Motivation: High-throughput experimental and computational methods are generating a wealth of protein–protein interaction data for a variety of organisms. However, data produced by current state-of-the-art methods include many false positives, which can hinder the analyses needed to derive biologica...
| Autores principales: | , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2009
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2638943/ https://www.ncbi.nlm.nih.gov/pubmed/19010802 http://dx.doi.org/10.1093/bioinformatics/btn597 |