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Model selection in systems and synthetic biology
Develo** mechanistic models has become an integral aspect of systems biology, as has
the need to differentiate between alternative models. Parameterizing mathematical models …
the need to differentiate between alternative models. Parameterizing mathematical models …
A framework for parameter estimation and model selection from experimental data in systems biology using approximate Bayesian computation
As modeling becomes a more widespread practice in the life sciences and biomedical
sciences, researchers need reliable tools to calibrate models against ever more complex …
sciences, researchers need reliable tools to calibrate models against ever more complex …
Scalable inference of ordinary differential equation models of biochemical processes
Ordinary differential equation models have become a standard tool for the mechanistic
description of biochemical processes. If parameters are inferred from experimental data …
description of biochemical processes. If parameters are inferred from experimental data …
Robustness of MEK-ERK dynamics and origins of cell-to-cell variability in MAPK signaling
Cellular signaling processes can exhibit pronounced cell-to-cell variability in genetically
identical cells. This affects how individual cells respond differentially to the same …
identical cells. This affects how individual cells respond differentially to the same …
A general moment expansion method for stochastic kinetic models
Moment approximation methods are gaining increasing attention for their use in the
approximation of the stochastic kinetics of chemical reaction systems. In this paper we derive …
approximation of the stochastic kinetics of chemical reaction systems. In this paper we derive …
The signal within the noise: efficient inference of stochastic gene regulation models using fluorescence histograms and stochastic simulations
Motivation: In the noisy cellular environment, stochastic fluctuations at the molecular level
manifest as cell–cell variability at the population level that is quantifiable using high …
manifest as cell–cell variability at the population level that is quantifiable using high …
Simulation-based estimation of mean and standard deviation for meta-analysis via Approximate Bayesian Computation (ABC)
Background When conducting a meta-analysis of a continuous outcome, estimated means
and standard deviations from the selected studies are required in order to obtain an overall …
and standard deviations from the selected studies are required in order to obtain an overall …
Multi-model and network inference based on ensemble estimates: avoiding the madness of crowds
MPH Stumpf - Journal of the Royal Society Interface, 2020 - royalsocietypublishing.org
Recent progress in theoretical systems biology, applied mathematics and computational
statistics allows us to compare the performance of different candidate models at describing a …
statistics allows us to compare the performance of different candidate models at describing a …
[PDF][PDF] Therapeutic agents for the management of atherosclerosis from herbal sources: A computational approach
EA Huwait - Jour. Bas. Sci, 2024 - jbsciences.com
One of the most prevalent illnesses in the world, atherosclerosis has a significant role in the
development of hypertension, stroke, myocardial localised necrosis, and several other …
development of hypertension, stroke, myocardial localised necrosis, and several other …
Sensitive targeted quantification of ERK phosphorylation dynamics and stoichiometry in human cells without affinity enrichment
Targeted mass spectrometry is a promising technology for site-specific quantification of
posttranslational modifications. However, a major constraint is the limited sensitivity for …
posttranslational modifications. However, a major constraint is the limited sensitivity for …