Literature DB >> 30983355

Bias in False Discovery Rate Estimation in Mass-Spectrometry-Based Peptide Identification.

Yulia Danilova1, Anastasia Voronkova1, Pavel Sulimov1, Attila Kertész-Farkas1.   

Abstract

Accurate target-decoy-based false discovery rate (FDR) control of peptide identification from tandem mass-spectrometry data relies on an important but often neglected assumption that incorrect spectrum annotations are equally likely to receive either target or decoy peptides. Here we argue that this assumption is often violated in practice, even by popular methods. Preference can be given to target peptides by biased scoring functions, which result in liberal FDR estimations, or to decoy peptides by correlated spectra, which result in conservative estimations.

Mesh:

Substances:

Year:  2019        PMID: 30983355     DOI: 10.1021/acs.jproteome.8b00991

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  3 in total

Review 1.  A Critical Review of Bottom-Up Proteomics: The Good, the Bad, and the Future of this Field.

Authors:  Emmalyn J Dupree; Madhuri Jayathirtha; Hannah Yorkey; Marius Mihasan; Brindusa Alina Petre; Costel C Darie
Journal:  Proteomes       Date:  2020-07-06

2.  Null-free False Discovery Rate Control Using Decoy Permutations.

Authors:  Kun He; Meng-Jie Li; Yan Fu; Fu-Zhou Gong; Xiao-Ming Sun
Journal:  Acta Math Appl Sin       Date:  2022-04-09       Impact factor: 1.102

3.  New mixture models for decoy-free false discovery rate estimation in mass spectrometry proteomics.

Authors:  Yisu Peng; Shantanu Jain; Yong Fuga Li; Michal Greguš; Alexander R Ivanov; Olga Vitek; Predrag Radivojac
Journal:  Bioinformatics       Date:  2020-12-30       Impact factor: 6.937

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.