A Python toolbox for COPASI
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Updated
Jun 5, 2024 - Python
A Python toolbox for COPASI
This is the code repository for the paper "Optimizing ODE-derived Synthetic Data for Transfer Learning in Dynamical Biological Systems".
Wolf–deer–ungulate system models with interactive density visualisations for Scandinavia (IIASA postdoctoral research)
Quantitative analysis of single-cell CAR-T and TIL killing kinetics from microwell co-culture imaging: EM mixture models for per-well kill rate, predator-prey ODE fits, and single-effector-cell statistics
Jupyter notebook assignment for undergraduate ODEs class. Uses a neural ODE to learn a nonlinear damping response from real experimental data.
Numerical Methods Project. This notebook creates an algorithm using the Runge–Kutta–Fehlberg Adaptive Step Size Method to solve for Ordinary Differential Equations. In this notebook, the dynamics of love model was solved and presented.
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