Article

Biologically informed NeuralODEs for genome-wide regulatory dynamics

2023-02-27

Abstract excerpt

Modeling dynamics of gene regulatory networks using ordinary differential equations (ODEs) allow a deeper understanding of disease progression and response to therapy, thus aiding in intervention optimization. Although there exist methods to infer regulatory ODEs, these are generally limited to small networks, rely on dimensional reduction, or impose non-biological parametric restrictions — all impeding scalabilit...

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Literature Corpus work: 91e8e273-33fd-557d-bf92-4e9a6d1e6495
DOI: 10.1101/2023.02.24.529835

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