A new efficient approach to fit stochastic models on the basis of high-throughput experimental data using a model of IRF7 gene expression as case study

Luis U. Aguilera, Christoph Zimmer, Ursula Kummer. A new efficient approach to fit stochastic models on the basis of high-throughput experimental data using a model of IRF7 gene expression as case study. BMC Systems Biology, 11(1), 2017. [doi]

@article{AguileraZK17,
  title = {A new efficient approach to fit stochastic models on the basis of high-throughput experimental data using a model of IRF7 gene expression as case study},
  author = {Luis U. Aguilera and Christoph Zimmer and Ursula Kummer},
  year = {2017},
  doi = {10.1186/s12918-017-0406-4},
  url = {http://dx.doi.org/10.1186/s12918-017-0406-4},
  researchr = {https://researchr.org/publication/AguileraZK17},
  cites = {0},
  citedby = {0},
  journal = {BMC Systems Biology},
  volume = {11},
  number = {1},
}