Journal
STATISTICS AND ITS INTERFACE
Volume 13, Issue 4, Pages 465-474Publisher
INT PRESS BOSTON, INC
Keywords
Meta-analysis; Adaptive thresholding; Shotgun technology
Funding
- National Institutes of Health (NIH) [HG 000250]
- NIH [P41GM103493]
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Shotgun assays are widely used in biotechnologies to characterize large molecules, which are hard to be measured as a whole directly. For instance, in Liquid Chromatography - Mass Spectrometry (LC-MS) shotgun experiments, proteins in biological samples are digested into peptides, and then peptides are separated and measured. However, in proteomics study, investigators are usually interested in the performance of the whole proteins instead of those peptide fragments. In light of meta-analysis, we propose an adaptive thresholding method to select informative peptides, and combine peptide-level models to protein-level analysis. The meta-analysis procedure and modeling rationale can be adapted to data analysis of other types of shotgun assays.
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