From the 1 of 5 linked papers with an AI index.
5 papers
A full software stack for epidemic disease management: Unlocking the joint potential of software technology and supercomputing
Jonas Gilg, Johann Fredrik Jadebeck, Mariama Jaiteh +22
Infectious diseases remain a major threat to human societies. During the recent COVID-19 pandemic, mathematical modeling and extensive computer simulations proved highly effective…
Higher-Order Hit-&-Run Samplers for Linearly Constrained Densities
Richard D. Paul, Anton Stratmann, Johann F. Jadebeck +4
The paper introduces a new MCMC algorithm that combines higher‑order information (gradients and curvature of the log‑density) with Hit‑and‑Run proposals to efficiently sample distr…
Simulation-based inference for rapid Bayesian parameter estimation in epidemiological models: a comparison with MCMC
Alina Bazarova, Johann Fredrik Jadebeck, Henrik Zunker +5
Mechanistic epidemiological models are widely used to support infectious disease forecasting and public-health decision making. Bayesian calibration of such models is commonly perf…
Trans-dimensional Bayesian model averaging for C-based metabolic flux analysis: Evidence-based flux inference under structural model uncertainty
Johann F. Jadebeck, Anton Stratmann, Martin Beyà +1
Accurate quantification of intracellular metabolic fluxes is central to systems biology and biotechnology. Flux estimation relies on biochemical network models, with C metab…
13CFLUX -- Third-generation high-performance engine for isotopically (non)stationary 13C metabolic flux analysis
Anton Stratmann, Martin BeyÃ, Johann F. Jadebeck +2
13C-based metabolic flux analysis (13C-MFA) is a cornerstone of quantitative systems biology, yet its increasing data complexity and methodological diversity place high demands on…