User profiles for T. P. Prescott
Thomas P. PrescottData Scientist at Datasparq Verified email at datasparq.ai Cited by 232 |
Multifidelity multilevel Monte Carlo to accelerate approximate Bayesian parameter inference for partially observed stochastic processes
Abstract Models of stochastic processes are widely used in almost all fields of science.
Theory validation, parameter estimation, and prediction all require model calibration and …
Theory validation, parameter estimation, and prediction all require model calibration and …
Layered decomposition for the model order reduction of timescale separated biochemical reaction networks
TP Prescott, A Papachristodoulou - Journal of theoretical biology, 2014 - Elsevier
Biochemical reaction networks tend to exhibit behaviour on more than one timescale and
they are inevitably modelled by stiff systems of ordinary differential equations. Singular …
they are inevitably modelled by stiff systems of ordinary differential equations. Singular …
Multifidelity approximate Bayesian computation
TP Prescott, RE Baker - SIAM/ASA Journal on Uncertainty Quantification, 2020 - SIAM
A vital stage in the mathematical modeling of real-world systems is to calibrate a model's
parameters to observed data. Likelihood-free parameter inference methods, such as …
parameters to observed data. Likelihood-free parameter inference methods, such as …
Multifidelity approximate Bayesian computation with sequential Monte Carlo parameter sampling
TP Prescott, RE Baker - SIAM/ASA Journal on Uncertainty Quantification, 2021 - SIAM
… parameter inference that exploits model approximations to significantly increase the speed
of ABC algorithms [TP Prescott and RE Baker, SIAM/ASA J. Uncertain. Quantif., 8 (2020), pp. …
of ABC algorithms [TP Prescott and RE Baker, SIAM/ASA J. Uncertain. Quantif., 8 (2020), pp. …
Guaranteed error bounds for structured complexity reduction of biochemical networks
TP Prescott, A Papachristodoulou - Journal of theoretical biology, 2012 - Elsevier
Biological systems are typically modelled by nonlinear differential equations. In an effort to
produce high fidelity representations of the underlying phenomena, these models are usually …
produce high fidelity representations of the underlying phenomena, these models are usually …
A synthetic recombinase-based feedback loop results in robust expression
Accurate control of a biological process is essential for many critical functions in biology,
from the cell cycle to proteome regulation. To achieve this, negative feedback is frequently …
from the cell cycle to proteome regulation. To achieve this, negative feedback is frequently …
[PDF][PDF] Quantifying the impact of electric fields on single-cell motility
Cell motility in response to environmental cues forms the basis of many developmental
processes in multicellular organisms. One such environmental cue is an electric field (EF), which …
processes in multicellular organisms. One such environmental cue is an electric field (EF), which …
Synthetic biology: A control engineering perspective
TP Prescott, A Papachristodoulou - 2014 European Control …, 2014 - ieeexplore.ieee.org
Synthetic Biology is a new, rapidly developing field at the interface of Engineering and
Biology. It aims to design new, or redesign existing biological systems for a particular purpose. …
Biology. It aims to design new, or redesign existing biological systems for a particular purpose. …
[HTML][HTML] Ribo-attenuators: novel elements for reliable and modular riboswitch engineering
Riboswitches are structural genetic regulatory elements that directly couple the sensing of
small molecules to gene expression. They have considerable potential for applications …
small molecules to gene expression. They have considerable potential for applications …
[HTML][HTML] Quantification of interactions between dynamic cellular network functionalities by cascaded layering
TP Prescott, M Lang… - PLoS computational …, 2015 - journals.plos.org
Large, naturally evolved biomolecular networks typically fulfil multiple functions. When modelling
or redesigning such systems, functional subsystems are often analysed independently …
or redesigning such systems, functional subsystems are often analysed independently …