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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Detalles Bibliográficos
Autores principales: Montaño-Gutierrez, Luis F., Ohta, Shinya, Kustatscher, Georg, Earnshaw, William C., Rappsilber, Juri
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The American Society for Cell Biology 2017
Materias:
Articles
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

Internet

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

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