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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...

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Detalhes bibliográficos
Publicado no:Mol Biol Cell
Main Authors: Montaño-Gutierrez, Luis F., Ohta, Shinya, Kustatscher, Georg, Earnshaw, William C., Rappsilber, Juri
Formato: Artigo
Idioma:Inglês
Publicado em: The American Society for Cell Biology 2017
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC5328625/
https://ncbi.nlm.nih.gov/pubmed/28057767
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1091/mbc.E16-06-0370
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