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New mixture models for decoy-free false discovery rate estimation in mass spectrometry proteomics
MOTIVATION: Accurate estimation of false discovery rate (FDR) of spectral identification is a central problem in mass spectrometry-based proteomics. Over the past two decades, target-decoy approaches (TDAs) and decoy-free approaches (DFAs) have been widely used to estimate FDR. TDAs use a database o...
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| Publicat a: | Bioinformatics |
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| Autors principals: | , , , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Oxford University Press
2020
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7773488/ https://ncbi.nlm.nih.gov/pubmed/33381824 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btaa807 |
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