notes
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Michael P. H. Stumpf
systems biology
,
approximate bayesian computation
,
probabilistic inference
,
dynamical systems
lab website:
https://www.theosysbio.com/publications
approximate bayesian computation scheme for parameter inference and model selection in dynamical systems by Tina Toni, Michael P. H. Stumpf et al in 2009
GpABC a Julia package for approximate bayesian computation with Gaussian process emulation by Evgeny Tankhilevich, Michael P. H. Stumpf et al in 2020
Gene Regulatory Network Inference from Single-Cell Data Using Multivariate Information Measures by Thalia Chan, Michael P. H. Stumpf, and Ann C. Babtie in 2017
Links to this note
open documents
approximate bayesian computation
GpABC a Julia package for approximate bayesian computation with Gaussian process emulation by Evgeny Tankhilevich, Michael P. H. Stumpf et al in 2020
Gene Regulatory Network Inference from Single-Cell Data Using Multivariate Information Measures by Thalia Chan, Michael P. H. Stumpf, and Ann C. Babtie in 2017
A framework for parameter estimation and model selection from experimental data in systems biology using approximate bayesian computation by Juliane Liepe, Michael P. H. Stumpf et al in 2014