A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf
.
Bayesian false discovery rates for post-translational modification proteomics
2012
Statistics and its Interface
Tandem mass spectrometry-based proteomics enables high throughput analysis of post-translational modifications (PTMs) on proteins. In current researches of shotgun proteomics, peptides with various PTMs and those without PTMs are often identified together and an overall false discovery rate (FDR) is estimated. However, it is often the case that only a subset of identifications, e.g. those with specific PTMs, are emphasized or reported. In doing so, the risk arises that the FDR of reported
doi:10.4310/sii.2012.v5.n1.a5
fatcat:jldonqyt6zd6do4ijkrev6essy