Bias in False Discovery Rate Estimation in Mass-Spectrometry-Based Peptide Identification
| Autor: | Pavel Sulimov, Yulia Danilova, Attila Kertész-Farkas, Anastasia Voronkova |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
0301 basic medicine
False discovery rate Proteomics Computer science Plasmodium falciparum Peptide Mass spectrometry Biochemistry 03 medical and health sciences Bias Tandem Mass Spectrometry Humans Amino Acid Sequence chemistry.chemical_classification 030102 biochemistry & molecular biology business.industry Pattern recognition General Chemistry Identification (information) 030104 developmental biology chemistry Artificial intelligence business Decoy Artifacts Peptides |
| Zdroj: | Journal of proteome research. 18(5) |
| ISSN: | 1535-3907 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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