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We observe that the so-called posterior distributions derived from such methods do not accurately reflect the epistemic uncertainties in parameter values. Moreover, we demonstrate that these methods provide minimal computational advantages over exact Bayesian methods when applied to two ODE epidemiological models with simulated data and one with real data concerning malaria transmission in Afghanistan. © 2020 The Authors.Cancer cells are known to exhibit unusual metabolic activity, and yet few metabolic cancer driver genes are kno