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Maksim Zakhartsev13
Sebastian Höpfl5
Maja Rey3
Ulrike Wittig3
Wolfgang Müller2
Olga Krebs1
Birger Wolter1
Amatus Beyer1
Aaron Laier1
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Working Group Nicole Radde7
de.NBI-SysBio5
Kinetics on the move - Workshop 20164
MIX-UP1
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Experimental Transplantation Surgery3
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Maksim Zakhartsev13
Ulrike Wittig6
Maja Rey2
Sebastian Höpfl2
Olga Krebs1
Irina Medvedeva1
Birger Wolter1
Amatus Beyer1
Aaron Laier1
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Data files visible to you, out of a total of 86
This code uses the PEtab problem (written in the yaml file) to perform MCMC sampling with pyPESTO. Afterwards an ensemble is created, that allows to compute the posterior predictive distribution and therefore the credibility intervals for the model output.
The sampling.py scipt of pyPESTO visulize was adjusted for an improved visualization. The used code was also uploaded.
A Conda environment file (.yml) containing the specific version of Python and installed packages with the according versions, ...
Creators: None
Submitter: Sebastian Höpfl
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