Scalable and flexible inference framework for stochastic dynamic single-cell models.
Sebastian PerssonNiek WelkenhuysenSviatlana ShashkovaSamuel WiqvistPatrick ReithGregor W. SchmidtUmberto PicchiniMarija CvijovicPublished in: PLoS Comput. Biol. (2022)
Keyphrases
- stochastic dynamic
- probabilistic model
- modeling framework
- lightweight
- random fields
- statistical inference
- inference process
- generic model
- mathematical framework
- dynamic bayesian networks
- model selection
- main contribution
- bayesian framework
- classification models
- probabilistic modeling
- autoregressive
- data sets
- computational models
- process model
- hidden markov models
- machine learning