Inference of S-system models of genetic networks using Product Unit Neural Networks

摘要

In this study, we proposed the method of inference of genetic networks which expresses the regulation of genes. The proposed method does not solve the differential equations, learns the genetic networks using Product-Unit-Neural-Network (PUNN) and infer the S-system model of genetic networks which describes a set of differential equations. The experimental results show the proposal method is 160 times faster than the previous method which estimated S-system model of genetic networks while maintaining equivalent performance to the previous method.