Abstract: The ability to learn complex system dynamics is crucial to enhancing the reliability and stability of power systems. In this paper, we develop a novel neural ordinary differential equation ...
The paper introduces DeepTX, a valuable deep-learning framework linking stochastic, mechanistic modelling with single-cell RNA sequencing data to investigate transcriptional burst kinetics on a genome ...
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