Sensitivity, robustness, and identifiability in stochastic chemical kinetics models. (Q35008293)

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31 January 2020

title

Sensitivity, robustness, and identifiability in stochastic chemical kinetics models (English)

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31 January 2020

3

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4

Michael P H Stumpf

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31 January 2020

author name string

Michał Komorowski

series ordinal

1

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31 January 2020

Maria J Costa

series ordinal

2

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31 January 2020

language of work or name

English

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publication date

6 May 2011

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Proceedings of the National Academy of Sciences of the United States of America

31 January 2020

published in

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31 January 2020

volume

108

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31 January 2020

issue

21

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31 January 2020

page(s)

8645-8650

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Using a single fluorescent reporter gene to infer half-life of extrinsic noise and other parameters of gene expression

31 January 2020

cites work

1 reference

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Efficient computation of parameter sensitivities of discrete stochastic chemical reaction networks

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Bayesian inference of biochemical kinetic parameters using the linear noise approximation.

8 July 2018

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Sloppiness, robustness, and evolvability in systems biology

8 July 2018

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Stochastic gene expression out-of-steady-state in the cyanobacterial circadian clock

8 July 2018

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Living with noisy genes: how cells function reliably with inherent variability in gene expression

8 July 2018

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Robustness and evolution: concepts, insights and challenges from a developmental model system

8 July 2018

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Oscillations and variability in the p53 system

8 July 2018

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Sensitivity analysis of discrete stochastic systems

8 July 2018

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Fast evaluation of fluctuations in biochemical networks with the linear noise approximation

8 July 2018

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Statistical mechanical approaches to models with many poorly known parameters

8 July 2018

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Stochastic gene expression in a single cell

8 July 2018

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Reverse engineering of biological complexity

8 July 2018

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Intrinsic noise in gene regulatory networks

8 July 2018

1 reference

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Stochastic mechanisms in gene expression

8 July 2018

1 reference

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Stochastic modelling for quantitative description of heterogeneous biological systems.

8 July 2018

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Mapping global sensitivity of cellular network dynamics: sensitivity heat maps and a global summation law.

21 January 2018

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Uncovering the design principles of circadian clocks: mathematical analysis of flexibility and evolutionary goals.

21 January 2018

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Efficient statistical inference for stochastic reaction processes.

21 January 2018

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Systematic reduction of a stochastic signalling cascade model.

21 January 2018

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Extracting biochemical parameters for cellular modeling: A mean-field approach.

21 January 2018

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Practical limits for reverse engineering of dynamical systems: a statistical analysis of sensitivity and parameter inferability in systems biology models.

21 January 2018

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26 October 2018

Identifiers

DOI

10.1073/PNAS.1015814108

1 reference

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31 January 2020

0 references

1 reference

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31 January 2020

PubMed publication ID

21551095

1 reference