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INTRIGUE: Quantify and Control Reproducibility in High-throughput Experiments
What you will learn
A Bayesian hierarchical model framework and a set of computational toolkits to evaluate the overall reproducibility of high-throughput biological experiments, and identify irreproducible and reproducible signals via rigorous false discovery rate control procedures.
Assessments of Reproducibility, Theory and Definition