Biologically informed NeuralODEs for genome-wide regulatory dynamics
Biologically informed NeuralODEs for genome-wide regulatory dynamics
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Publisher
England: BioMed Central Ltd
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English
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England: BioMed Central Ltd
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Gene regulatory network (GRN) 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 gene regulatory ODEs is challenging, since we want to predict the...
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Biologically informed NeuralODEs for genome-wide regulatory dynamics
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TN_cdi_doaj_primary_oai_doaj_org_article_ef0102c452ad4b24aab7197ea53675ba
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_ef0102c452ad4b24aab7197ea53675ba
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ISSN
1474-760X,1474-7596
E-ISSN
1474-760X
DOI
10.1186/s13059-024-03264-0
