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Nano Random Forests to mine protein complexes and their relationships in quantitative proteomics data
Ever-increasing numbers of quantitative proteomics data sets constitute an underexploited resource for investigating protein function. Multiprotein complexes often follow consistent trends in these experiments, which could provide insights about their biology. Yet, as more experiments are considered...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
The American Society for Cell Biology
2017
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5328625/ https://www.ncbi.nlm.nih.gov/pubmed/28057767 http://dx.doi.org/10.1091/mbc.E16-06-0370 |