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Titel:

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

Dokumenttyp:
Zeitschriftenaufsatz
Autor(en):
Savitski, Mikhail M.; Wilhelm, Mathias; Hahne, Hannes; Kuster, Bernhard; Bantscheff, Marcus
Abstract:
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 strong differences in opinion regarding the conceptual validity of a protein FDR and no consensus regarding the methodology for protein FDR determination. There are also limitations inherent to the wi...     »
Zeitschriftentitel:
Molecular & Cellular Proteomics
Jahr:
2015
Band / Volume:
14
Heft / Issue:
9
Seitenangaben Beitrag:
2394-2404
Volltext / DOI:
doi:10.1074/mcp.m114.046995
Verlag / Institution:
Elsevier BV
E-ISSN:
1535-9476
Publikationsdatum:
01.09.2015
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