Planning experiments is a crucial step in successful investigations, which can greatly benefit from computational modeling approaches. Here we consider the problem of designing informative experiments for elucidating the dynamics of biological networks. Our approach extends previously proposed methodologies to the important case where the structure of the network is also uncertain. We demonstrate our approach on a benchmark scenario in plant biology, the circadian clock network of Arabidopsis thaliana, and discuss the different value of three types of commonly used experiments in terms of aiding the reconstruction of the unknown network.
展开▼
