[ASAP] A Bayesian Null Interval Hypothesis Test Controls False Discovery Rates and Improves Sensitivity in Label-Free Quantitative Proteomics

Journal of Proteome ResearchDOI: 10.1021/acs.jproteome.9b00796

Source: Journal of Proteome Research - April 14, 2020 Category: Biochemistry Authors: Robert J. Millikin, Michael R. Shortreed, Mark Scalf, and Lloyd M. Smith* Source Type: research