A Methodology For Performing Global Uncertainty And Sensitivity Analysis In Systems Biology
Reads0
Chats0
TLDR
This work develops methods for applying existing analytical tools to perform analyses on a variety of mathematical and computer models and provides a complete methodology for performing these analyses, in both deterministic and stochastic settings, and proposes novel techniques to handle problems encountered during these types of analyses.About:
This article is published in Journal of Theoretical Biology.The article was published on 2008-09-07 and is currently open access. It has received 2014 citations till now. The article focuses on the topics: Uncertainty analysis & Sensitivity analysis.read more
Citations
More filters
Journal ArticleDOI
A four-compartment model for the COVID-19 infection - implications on infection kinetics, control measures and lockdown exit strategies
Tianbing Wang,Yanqiu Wu,Johnson Y.N. Lau,Yingqi Yu,Liyu Liu,Jing Li,Kang Zhang,Weiwei Tong,Baoguo Jiang +8 more
TL;DR: Analysing the different lockdown exit strategies showed that a lockdown exit strategy with a combination of social separation/general facemask use may work, but this needs to be supported by intense monitoring which would allow re-introduction/tightening of the control measures if the number of new infected subjects increases again.
Journal ArticleDOI
Modeling and kinetic parameter estimation of alcohol dehydrogenase‐catalyzed hexanol oxidation in a microreactor
TL;DR: A mathematical model for hexanol oxidation catalyzed by NAD+‐dependent alcohol dehydrogenase from baker's yeast in a microreactor was developed and compared with the model when the reaction takes place in a macroscopic reactor, which shows a significant increase in the sensitivity of Km1NAD+.
Journal ArticleDOI
Modeling flood dynamics along the superelevated channel belt of the Yellow River over the last 3000 years
TL;DR: In this article, a model integrating yearly morphological change along a channel belt with daily river fluxes and hourly evolution of levee breaches was developed to explore the effects of climate change and human activity on flood levels, breaches, and river avulsions.
Journal ArticleDOI
A mathematical COVID-19 model considering asymptomatic and symptomatic classes with waning immunity
Nursanti Anggriani,Meksianis Z. Ndii,Rika Amelia,Wahyu Suryaningrat,Mochammad Andhika Aji Pratama +4 more
TL;DR: In this article, a mathematical model for COVID-19 outbreak in West Java Province, Indonesia is presented, which considers the asymptomatic and symptomatic compartments and decreased immunity.
Posted ContentDOI
Forecasting covid-19 pandemic: a data-driven analysis
TL;DR: A tentative prediction of the epidemic peak for Russia, Brazil, India and Bangladesh which could become the next COVID-19 hotspots in no time is given and it is suggested that relaxing social distancing restrictions too quickly could exacerbate the epidemic outbreak in the above mentioned countries.
References
More filters
Book
An Introduction to Multivariate Statistical Analysis
TL;DR: In this article, the distribution of the Mean Vector and the Covariance Matrix and the Generalized T2-Statistic is analyzed. But the distribution is not shown to be independent of sets of Variates.
Journal ArticleDOI
A comparison of three methods for selecting values of input variables in the analysis of output from a computer code
TL;DR: In this paper, two sampling plans are examined as alternatives to simple random sampling in Monte Carlo studies and they are shown to be improvements over simple sampling with respect to variance for a class of estimators which includes the sample mean and the empirical distribution function.
Journal Article
Factorial sampling plans for preliminary computational experiments
TL;DR: The proposed experimental plans are composed of individually randomized one-factor-at-a-time designs, and data analysis is based on the resulting random sample of observed elementary effects, those changes in an output due solely to changes in a particular input.
Journal ArticleDOI
Factorial sampling plans for preliminary computational experiments
TL;DR: In this article, the problem of designing computational experiments to determine which inputs have important effects on an output is considered, and experimental plans are composed of individually randomized one-factor-at-a-time designs, and data analysis is based on the resulting random sample of observed elementary effects.