Biologically informed NeuralODEs for genome-wide regulatory dynamics
Abstract Background 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...
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| Autors principals: | , , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
BMC
2024-05-01
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| Col·lecció: | Genome Biology |
| Accés en línia: | https://doi.org/10.1186/s13059-024-03264-0 |
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