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

ABSTRACT: We introduce a new decoy-free framework for false discovery rate (FDR) estimation that generalizes present decoy-free approaches (DFAs) while exploiting more search data in a manner similar to target-decoy approaches (TDAs).

INSTRUMENT(S):

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Hela Cell

SUBMITTER: Michal Gregus  

LAB HEAD: Alexander R. Ivanov

PROVIDER: PXD020322 | Pride | 2020-01-10

REPOSITORIES: Pride