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Filter inference: A scalable nonlinear mixed effects inference approach for snapshot time series data

2022-11-02

Abstract excerpt

Variability is an intrinsic property of biological systems and is often at the heart of their complex behaviour. Examples range from cell-to-cell variability in cell signalling pathways to variability in the response to treatment across patients. A popular approach to model and understand this variability is nonlinear mixed effects (NLME) modelling. However, estimating the parameters of NLME models from measuremen...

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Literature Corpus work
2302e237-abce-51da-8ad5-3b706b6f5b21
DOI
10.1101/2022.11.01.514702
Open publication

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Filter inference: A scalable nonlinear mixed effects inference approach for snapshot time series dataDOI 10.1101/2022.11.01.514702
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