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Inference algorithms for the Poisson-Beta model

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Inference algorithms for the Poisson-Beta Model

One idealized model for transcriptional regulation is the telegraph model (Peccoud and Ycart 1995, Raj et al. 2006, Kim and Marioni 2013, Munsky et al. 2013), whose steady state is described by the Poisson-Beta model. Here, we provide a single package implementing both previously proposed and novel estimation procedures for this model.

Installation

pip install https://www.github.com/aksarkar/poisbeta#egg=poisbeta

References

  • Peccoud and Ycart, “Markovian Modelling of Gene Synthesis” (1995)
  • Raj et al. “Stochastic mRNA Synthesis in Mammalian Cells” (2006)
  • Kim and Marioni, “Inferring the kinetics of stochastic gene expression from single-cell RNA-sequencing data” (2013)
  • Larsson et al. “Genomic encoding of transcriptional burst kinetics” (2019)

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Inference algorithms for the Poisson-Beta model

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