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      Nonlinear fitting method for determining local false discovery rates from decoy database searches.

      Journal of Proteome Research
      Databases, Protein, Models, Theoretical, Nonlinear Dynamics, Tandem Mass Spectrometry

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          Abstract

          False discovery rate (FDR) analyses of protein and peptide identification results using decoy database searching conventionally report aggregate or global FDRs for a whole set of identifications, which are often not very informative about the error rates of individual members in the set. We describe a nonlinear curve fitting method for calculating the local FDR, which estimates the chance that an individual protein (or peptide) is incorrect, and present a simple tool that implements this analysis. The goal of this method is to offer a simple extension to the now commonplace decoy database searching, providing additional valuable information.

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          Author and article information

          Journal
          18700793
          10.1021/pr070492f

          Chemistry
          Databases, Protein,Models, Theoretical,Nonlinear Dynamics,Tandem Mass Spectrometry
          Chemistry
          Databases, Protein, Models, Theoretical, Nonlinear Dynamics, Tandem Mass Spectrometry

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