Amia Wang: Publications - PhilPeople

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Sensitivity Analysis of Biological Boolean Networks Using Information Fusion Based on Nonadditive Set Functions
with Naomi Kochi, Tomá\V. S. Helikar, Laura Allen, Jim Rogers, Matache Zhenyuan, and T. Mihaela

BMC Systems Biology 8 (1): 92. 2014.

An algebraic method for information fusion based on nonadditive set functions is used to assess the joint contribution of Boolean network attributes to the sensitivity of the network to individual node mutations. The node attributes or characteristics under consideration are: in-degree, out-degree, minimum and average path lengths, bias, average sensitivity of Boolean functions, and canalizing degrees. The impact of node mutations is assessed using as target measure the average Hamming distance …Read more
An algebraic method for information fusion based on nonadditive set functions is used to assess the joint contribution of Boolean network attributes to the sensitivity of the network to individual node mutations. The node attributes or characteristics under consideration are: in-degree, out-degree, minimum and average path lengths, bias, average sensitivity of Boolean functions, and canalizing degrees. The impact of node mutations is assessed using as target measure the average Hamming distance between a non-mutated/wild-type network and a mutated network.