Differential study of the cytokine network in the immune system: An evolutionary approach based on the Bayesian networks

In this paper, we present a Bayesian networks (BNs) approach in order to infer the di erentiation of the cytokine implication in di erent experimental conditions. We introduce an evolutionary method for BNs structure learning that maintains a set of the best learned networks. Each of them will be tested by a statistic test with two populations of patient data: one with treatment (drugs), other without treatment.

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