Filter inference: a scalable nonlinear mixed effects inference approach for snapshot time series data
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 varia...
Glavni autori: | Augustin, D, Lambert, B, Wang, K, Walz, A-C, Robinson, M, Gavaghan, D |
---|---|
Format: | Journal article |
Jezik: | English |
Izdano: |
Public Library of Science
2023
|
Slični predmeti
-
Bayesian time series models and scalable inference
od: Johnson, Matthew James, Ph. D. Massachusetts Institute of Technology
Izdano: (2014) -
Probabilistic inference on noisy time series (PINTS)
od: Clerx, M, i dr.
Izdano: (2019) -
Scalable online nonlinear goal-oriented inference with physics-informed maps
od: Li, Harriet.
Izdano: (2019) -
Scalable inference in state-space models
od: Middleton, L
Izdano: (2019) -
Bayesian inference for biological time series
od: Creswell, R
Izdano: (2023)