Evolving Additive Tree Model for Inferring Gene Regulatory Networks

1. Iba, H., et al.: Inferring a system of differential equations for a gene regulatory network by using genetic programming. In: Proc. Congress on Evolutionary Computation, pp. 720–726 (2001)

   Google Scholar 

2. Qian, L., et al.: Inference of Noisy Nonlinear Differential Equation Models for Gene Regulatory Networks Using Genetic Programming and Kalman Filtering. IEEE Transactions on Signal Processing 56(7), 3327–3339 (2008)

   Article  MathSciNet  Google Scholar 

3. Vilela, M., et al.: Identification of neutral biochemical network models from time series data. BMC Systems Biology 3, 47 (2009)

   Article  Google Scholar 

4. Yang, B., et al.: Reverse engineering of gene regulatory networks using flexible neural tree models. Neurocomputing (2012)

   Google Scholar 

5. Bongard, J., Lipson, H.: Automated reverse engineering of nonlinear dynamical systems. Proceedings of the National Academy of Science 104(24), 9943–9948 (2007)

   Article  MATH  Google Scholar 

6. Chen, Y., Yang, J., et al.: Evolving Additive tree models for System Identification. International Journal of Computational Cognition 3(2), 19–26 (2005)

   Google Scholar 

7. Tomita, M., et al.: E-cell: software environment for whole-cell simulation. Bioinformatics 15, 72–84 (1999)

   Article  Google Scholar 

8. Ando, S., Sakamoto, E., Iba, H.: Evolutionary modeling and inference of gene network. Inf. Sci. 145, 237–259 (2002)

   Article  MathSciNet  Google Scholar 

9. Savageau, M.A.: Biochemical Systems Analysis: A Study of Function and Design in Molecular Biology. Addison-Wesley, Reading (1976)

   MATH  Google Scholar 

10. Hlavacek, W.S., Savageau, M.A.: Rules for coupled expression of regulator and effector genes in inducible circuits. J. Mol. Biol. 255, 121–139 (1999)

    Article  Google Scholar 

Download references