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Tool paper (HSB20 CMSB20)
Matej Hajnal edited this page Sep 1, 2020
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This wiki may be outdated, updated info on progress here
- Same as in HSB19
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Space Refinement -
- Alg. optimisations
- Code optimisations
- progress bar
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Qunatitative space sampling NEW
- so far only implementation
- sum of L1 distances from dissatisfying constraints in each point (grid sampling)
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Regression NEW
- single point optimisation using scipy, L2 distance
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Metropolis Hastings NEW
- Walk in parameter space
- Bayesian inference to estimate likelihood of a new parameterization
- burn-in
- iteration count / timeout
- gridsize to assign accepted points
- visualisation
- 2D
- line-scatter plot for multidim
- Gui
- config
- MH and Optimisation results added for the models from HSB19
- TACAS
- or Bioinformatics
Here at the wiki, you can find what has been managed and proposed to be done for the respective project (publication/thesis/...).