Robust determination of differential abundance in shotgun proteomics using nonparametric statistics.

ABSTRACT: Label-free shotgun mass spectrometry enables the detection of significant changes in protein abundance between different conditions. Due to often limited cohort sizes or replication, large ratios of potential protein markers to number of samples, as well as multiple null measurements pose important technical challenges to conventional parametric models. From a statistical perspective, a scenario similar to that of unlabeled proteomics is encountered in genomics when looking for differentially expressed genes. Still, the difficulty of detecting a large fraction of the true positives without a high false discovery rate is arguably greater in proteomics due to even smaller sample sizes and peptide-to-peptide variability in detectability. These constraints argue for nonparametric (or distribut

SUBMITTER: Slama P 

PROVIDER: S-EPMC6490964 | biostudies-literature | 2018 Dec

REPOSITORIES: biostudies-literature