GitHub/Paper repositories
BayeSBML - Python library for conservation analysis and discrete probabilistic approximations to estimate parameters in biochemical networks. [Source Code]
ode2dbn-sensitivity - A Python sensitivity-guided framework for constructing reduced Dynamic Bayesian Networks from ODE models with efficient sampling of key dynamical dependencies. [Source Code]
Personal projects
NebulaNet - Python library for generating abstract SVG backgrounds using random point placement and proximity-based connectivity to produce constellation-like graph structures. [Source Code]
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