The NIH/NIGMS
Center for Integrative Biomedical Computing

uncertainSCI

Model and Parametric Uncertainty

UncertainSCI is a Python-based toolkit that harnesses modern techniques to estimate model and parametric uncertainty.

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Overview
Documentation
Support
Acknowledgements

UncertainSCI

UncertainSCI is a Python-based toolkit that harnesses modern techniques to estimate model and parametric uncertainty, with a particular emphasis on needs for biomedical simulations and applications. This toolkit enables non-intrusive integration of these techniques with well-established biomedical simulation software.



Introduction to UncertainSCI

Applications

Background Math

Cardiac Bioelectricity

Brain Neuromodulation










Acknowledgements

Please include the following acknowledgement in work using this software:
"This work was supported by the National Institute of Biomedical Imaging and Bioengineering of the National Institutes of Health under grant number U24EB029012”