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Exploring experimental designs for network inference using perturbations and a Bayesian sequential learning strategy
Published on Feb 4, 20253092 Views
Modern approaches to systems biology call for a tightly coupled iterative cycle of computational modelling and independent experimental validation of model predictions. A Bayesian formulation to model