Article

Biologically informed NeuralODEs for genome-wide regulatory dynamics

2023-03-14

Abstract excerpt

<title>Abstract</title> <p>Models that are formulated as ordinary differential equations (ODEs) can accurately explain temporal gene expression patterns and promise to yield new insights into important cellular processes, disease progression, and intervention design. Learning such ODEs is challenging, since we want to predict the evolution of gene expression in a way that accurately encodes the causal gene-regula...

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Literature Corpus work: b3a4ad30-5127-5f89-aea9-860f6c160778
DOI: 10.21203/rs.3.rs-2675584/v1

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