Biologically informed NeuralODEs for genome-wide regulatory dynamics

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...

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Detalles Bibliográficos
Autores principales: Hossain, Intekhab, Fanfani, Viola, Quackenbush, John, Burkholz, Rebekka
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Journal Experts 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10055646/
https://www.ncbi.nlm.nih.gov/pubmed/36993392
http://dx.doi.org/10.21203/rs.3.rs-2675584/v1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10055646/
https://www.ncbi.nlm.nih.gov/pubmed/36993392
http://dx.doi.org/10.21203/rs.3.rs-2675584/v1

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