tailieunhanh - Initial state perturbations as a validation method for data-driven fuzzy models of cellular networks

Data-driven methods that automatically learn relations between attributes from given data are a popular tool for building mathematical models in computational biology. Since measurements are prone to errors, approaches dealing with uncertain data are especially suitable for this task. |

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