1,721,248 research outputs found
Modeling and simulating reaction-diffusion systems with state-dependent diffusion coefficients
No full textOptimization Algorithms for Computational Systems Biology
No full textComputational systems biology aims at integrating biology and computational methods to gain a better understating of biological phenomena. It often requires the assistance of global optimization to adequately tune its tools. This review presents three powerful methodologies for global optimization that fit the requirements of most of the computational systems biology applications, such as model tuning and biomarker identification. We include the multi-start approach for least squares methods, mostly applied for fitting experimental data. We illustrate Markov Chain Monte Carlo methods, which are stochastic techniques here applied for fitting experimental data when a model involves stochastic equations or simulations. Finally, we present Genetic Algorithms, heuristic nature-inspired methods that are applied in a broad range of optimization applications, including the ones in systems biology
Simulation of biochemical reactions with time-dependent rates by the rejection-based algorithm
No full textGlobal computing: IST/FET international workshop, GC 2003, Rovereto (TN), February 9-14 , 2003
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Global Computing: IST/FET International Workshop, GC 2004, Rovereto, Italy, March 9-12, 2004, Revised Selected Papers
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