Challenges and Opportunities for Bayesian Statistics in Proteomics
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DOI: 10.1021/acs.jproteome.1c00859
Abstract: Proteomics is a data-rich science with complex experimental designs and an intricate measurement process. To obtain insights from the large data sets produced, statistical methods, including machine learning, are routinely applied. For a quantity of… read more here.
Keywords: challenges opportunities; methodology; framework; bayesian statistics ... See more keywords