Biologically informed NeuralODEs for genome-wide regulatory dynamics
Biologically informed NeuralODEs for genome-wide regulatory dynamics
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Publisher
United States: Cold Spring Harbor Laboratory Press
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Language
English
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Publisher
United States: Cold Spring Harbor Laboratory Press
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Scope and Contents
Contents
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 impo...
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Full title
Biologically informed NeuralODEs for genome-wide regulatory dynamics
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TN_cdi_proquest_journals_2780241356
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2780241356
Other Identifiers
ISSN
2692-8205
E-ISSN
2692-8205
DOI
10.1101/2023.02.24.529835
