A statistical framework for protein quantitation in bottom-up MS-based proteomics

AUTOR(ES)
FONTE

Oxford University Press

RESUMO

Motivation: Quantitative mass spectrometry-based proteomics requires protein-level estimates and associated confidence measures. Challenges include the presence of low quality or incorrectly identified peptides and informative missingness. Furthermore, models are required for rolling peptide-level information up to the protein level.

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