Improvements in the reconstruction of time-varying gene regulatory networks: dynamic programming and regularization by information sharing among genes.

Dynamic Bayesian networks (DBNs) have been applied widely to reconstruct the structure of regulatory processes from time series data, and they have established themselves as a standard modelling tool in computational systems biology.

Grzegorczyk M. and Husmeier D. (2011) Bioinformatics, 27 (5), 693–699.