Pinned Repositories
CS_Signalling_ERBB_RAS_AKT
Model and data from FroehlichKes2018
fiddy
Finite difference methods.
lookahead-study
Code for the pyABC dynamic look-ahead scheduling study
MEMOIR
MATLAB toolbox for Mixed Effect Model InfeRence
model_calibration_protocol
ODEMM
MATLAB Toolbox for ODE constrained mixture models
parPE
Parameter estimation for dynamical models using high-performance computing, batch and mini-batch optimizers, and dynamic load balancing.
PESTO
PESTO: Parameter EStimation TOolbox, Bioinformatics, btx676, 2017.
pyABC
distributed, likelihood-free inference
pyPESTO
python Parameter EStimation TOolbox
Data-driven Computational Modelling's Repositories
ICB-DCM/pyPESTO
python Parameter EStimation TOolbox
ICB-DCM/pyABC
distributed, likelihood-free inference
ICB-DCM/PESTO
PESTO: Parameter EStimation TOolbox, Bioinformatics, btx676, 2017.
ICB-DCM/parPE
Parameter estimation for dynamical models using high-performance computing, batch and mini-batch optimizers, and dynamic load balancing.
ICB-DCM/fiddy
Finite difference methods.
ICB-DCM/lookahead-study
Code for the pyABC dynamic look-ahead scheduling study
ICB-DCM/ODEMM
MATLAB Toolbox for ODE constrained mixture models
ICB-DCM/CS_Signalling_ERBB_RAS_AKT
Model and data from FroehlichKes2018
ICB-DCM/LNAplusplus
LNA++: a Fast C++ Implementation of the Linear Noise Approximation with first- and second-order sensitivities
ICB-DCM/MEMOIR
MATLAB toolbox for Mixed Effect Model InfeRence
ICB-DCM/model_calibration_protocol
ICB-DCM/Study-DFO
Evaluation of Derivative-Free Optimizers for Parameter Estimation in Systems Biology.
ICB-DCM/SBMLimporter
MATLAB toolbox to generate ODE models from SBML files
ICB-DCM/solverstudy
ICB-DCM/SPToolbox
ICB-DCM/custom_ci_image
Testing custom CI image for parPE
ICB-DCM/delos
DeLOS is a toolbox for local optimization using mini batching ideas from the Deep Learning community
ICB-DCM/NOODLES
NOn-convex Optimization by high-order Derivative Learning and Exploiting Schemes
ICB-DCM/NullModels
Code for Null Models used in Sinzger et al. (2019) Scientific Reports, 9, 3002
ICB-DCM/pABC-SMC
pABC-SMC scripts & data and model code for tumor growth example
ICB-DCM/tumor2d
Python bindings to a C++ implementation of the source code accompanying: Jagiella, Rickert, Theis, Hasenauer "Parallelization and high-performance computing enables automated statistical inference of multiscale models" (2017)