Neural network aided approximation and parameterinference of stochastic models of gene expression
Qingchao Jiang, Xiaoming Fu, Shifu Yan, Runlai Li, Wenli Du, Zhixing Cao, Feng Qian, Ramon Grima
This paper uses neural networks to approximate non-Markov stochastic gene expression models and infer their parameters from noisy data.
bioRxiv · Dec 15, 2020 · PreprintSystems Biology