Paper published in a book (Scientific congresses, symposiums and conference proceedings)
Inference of switched biochemical reaction networks using sparse bayesian learning
PAN, Wei; Yuan, Y.; Sootla, A.et al.
2014 • In The proceedings of the 7th European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD)
[en] This paper proposes an algorithm to identify biochemical reaction networks with time-varying kinetics. We formulate the problem as a nonconvex optimisation problem casted in a sparse Bayesian learning framework. The nonconvex problem can be efficiently solved using Convex-Concave programming. We test the effectiveness of the method on a simulated example of DNA circuit realising a switched chaotic Lorenz oscillator.
Disciplines :
Engineering, computing & technology: Multidisciplinary, general & others
