BioinformaticsThe Annals of Applied StatisticsPeer-reviewed
Structured hierarchical models for probabilistic inference from perturbation screening data
Simon Dirmeier, Niko Beerenwinkel
This paper introduces structured hierarchical models for probabilistic inference of causal effects from perturbation screening data, showing that incorporating prior knowledge improves parameter inference in noisy datasets.
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