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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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Bibliografische gegevens
Gepubliceerd in:Mol Biol Cell
Hoofdauteurs: Montaño-Gutierrez, Luis F., Ohta, Shinya, Kustatscher, Georg, Earnshaw, William C., Rappsilber, Juri
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: The American Society for Cell Biology 2017
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Online toegang: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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