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A Scalable Approach for Protein False Discovery Rate Estimation in Large Proteomic Data Sets

Calculating the number of confidently identified proteins and estimating false discovery rate (FDR) is a challenge when analyzing very large proteomic data sets such as entire human proteomes. Biological and technical heterogeneity in proteomic experiments further add to the challenge and there are...

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Detalhes bibliográficos
Publicado no:Mol Cell Proteomics
Main Authors: Savitski, Mikhail M., Wilhelm, Mathias, Hahne, Hannes, Kuster, Bernhard, Bantscheff, Marcus
Formato: Artigo
Idioma:Inglês
Publicado em: The American Society for Biochemistry and Molecular Biology 2015
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC4563723/
https://ncbi.nlm.nih.gov/pubmed/25987413
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1074/mcp.M114.046995
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