Using gene expression programming to infer gene regulatory networks from time-series data

- Gene expression programing is an effective method to evolve ordinary differential equations (ODEs) model from observed time-series data.
- We propose a least mean square method to optimize parameters of ODEs model.
- The partitioning is used to decrease the complexity of the genetic network inference problem, in the process of identification of structure of system.