Moment-based inference predicts bimodality in transient gene expression.

@article{Zechner2012MomentbasedIP,
  title={Moment-based inference predicts bimodality in transient gene expression.},
  author={Christoph Zechner and Jakob Ruess and Peter William Krenn and Serge Pelet and Matthias Peter and John Lygeros and Heinz Koeppl},
  journal={Proceedings of the National Academy of Sciences of the United States of America},
  year={2012},
  volume={109 21},
  pages={8340-5}
}
Recent computational studies indicate that the molecular noise of a cellular process may be a rich source of information about process dynamics and parameters. However, accessing this source requires stochastic models that are usually difficult to analyze. Therefore, parameter estimation for stochastic systems using distribution measurements, as provided for instance by flow cytometry, currently remains limited to very small and simple systems. Here we propose a new method that makes use of low… CONTINUE READING
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