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The nature of gene expression: model selection and parameter inference
Popovic, Nikola
(Principal Investigator)
School of Mathematics
Overview
Fingerprint
Research output
(2)
Project Details
Status
Finished
Effective start/end date
1/09/15
→
31/08/18
Funding
UK-based charities:
£130,477.00
View all
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Fingerprint
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
Stochastic Model
Engineering
100%
Master Equation
Engineering
100%
Propagator
Mathematics
100%
Gene Expression
Biochemistry, Genetics and Molecular Biology
100%
Explicit Solution
Engineering
50%
Asymptotic Expansion
Engineering
50%
Applicability
Engineering
50%
Model Parameter
Engineering
50%
Research output
Research output per year
2018
2018
2021
2021
2
Article
Research output per year
Research output per year
Parameter inference with analytical propagators for stochastic models of autoregulated gene expression
Veerman, F.,
Popovic, N.
& Marr, C.,
7 Apr 2021
,
In:
International Journal of Nonlinear Sciences and Numerical Simulation.
23
,
3-4
,
p. 565-577
Research output
:
Contribution to journal
›
Article
›
peer-review
Open Access
File
Stochastic Model
100%
Master Equation
100%
Propagator
100%
Gene Expression
100%
Applicability
50%
Time-dependent propagators for stochastic models of gene expression: an analytical method
Veerman, F., Carsten, M. &
Popovic, N.
,
Aug 2018
,
In:
Journal of Mathematical Biology.
77
,
2
,
p. 261-312
52 p.
Research output
:
Contribution to journal
›
Article
›
peer-review
Open Access
File
Cauchy's Integral Formula
100%