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Learning deterministic hydrodynamic equations from stochastic active particle dynamics
We present a principled data-driven strategy for learning deterministic hydrodynamic models directly from stochastic non-equilibrium active particle trajectories.
Glycan processing in the Golgi -- optimal information coding and constraints on cisternal number and enzyme specificity
In this paper, we quantitatively analyse the tradeoffs between the number of cisternae and the number and specificity of enzymes, in order to synthesize a prescribed target glycan distribution of a certain complexity.
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