Modelling Nonstationary Gene Regulatory Processes

  title={Modelling Nonstationary Gene Regulatory Processes},
  author={Marco Grzegorczyk and Dirk Husmeier and J{\"o}rg Rahnenf{\"u}hrer},
  booktitle={Adv. Bioinformatics},
An important objective in systems biology is to infer gene regulatory networks from postgenomic data, and dynamic Bayesian networks have been widely applied as a popular tool to this end. The standard approach for nondiscretised data is restricted to a linear model and a homogeneous Markov chain. Recently, various generalisations based on changepoint processes and free allocation mixture models have been proposed. The former aim to relax the homogeneity assumption, whereas the latter are more… CONTINUE READING


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