A workflow developed to tackle the challenge of building and analyzing biochemical pathway models, combining pre-existing tools and custom-made software.
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Updated
May 29, 2024 - Component Pascal
A workflow developed to tackle the challenge of building and analyzing biochemical pathway models, combining pre-existing tools and custom-made software.
Global sensitivity analysis for climate/land-use change co-extinctions analysis
Resources and extra documentation for the manuscript "A Global Sensitivity-based Identification of Key Factors on Stability of Power Grid with Multi-outfeed HVDC" published in IEEE Latin America Transactions.
A source code for the paper titled "Trajectory-based Global Sensitivity Analysis in Multiscale Models".
Performing a Sobol global sensitivity analysis on a flood risk model in Selinsgrove, PA
A source code for the paper titled "Global Sensitivity Analysis using Polynomial Chaos Expansion on the Grassmann Manifold".
Scripts to perform training of Gaussian Processes Emulators and Global Sensitivity Analysis on models or emulators output.
Open access PBPK modelling platform
Modeling sensitivity analysis techniques using MATLAB
Correlation, sampling, sensitivity, inference and random linear algebra routines in rust
Tools for efficient global sensitivity analyses for models with correlated input parameters.
R code and data required for whaler shark (Carcharhinus brachyurus) harvest model
Global sensitivity analysis demo
SoBioS is an easy-to-run code to compute Sobol' indices for biological systems.
snakemake workflow for performing a global sensitivity analysis of an OSeMOSYS model
VARS-TOOL sensitivity analysis package in Python
Uncertainty propagation and global sensitivity analysis for computational economic models
Robust, Fast, and Parallel Global Sensitivity Analysis (GSA) in Julia
tools for scalable and non-intrusive parameter estimation, uncertainty analysis and sensitivity analysis
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