Bayesian Parameter Estimation for Stochastic Reaction Networks from Steady-State Observations
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Date
2019Type
- Conference Paper
Abstract
Stochasticity is a fundamental feature of biology at the single cell level. Quantitative experimental data ranging from microscopy to single-cell transcriptomic is continually expanding our understanding of the role of stochasticity in gene expression and other cellular processes.
Publication status
publishedExternal links
Book title
Computational Methods in Systems Biology: 17th International Conference, CMSB 2019, Trieste, Italy, September 18–20, 2019, ProceedingsJournal / series
Lecture Notes in Computer ScienceVolume
Pages / Article No.
Publisher
SpringerEvent
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