Transcriptomic forecasting with neural ordinary differential equations

Single-cell transcriptomics technologies can uncover changes in the molecular states that underlie cellular phenotypes. However, understanding the dynamic cellular processes requires extending from inferring trajectories from snapshots of cellular states to estimating temporal changes in cellular ge...

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Detalles Bibliográficos
Autores principales: Erbe, Rossin, Stein-O’Brien, Genevieve, Fertig, Elana J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10435954/
https://www.ncbi.nlm.nih.gov/pubmed/37602211
http://dx.doi.org/10.1016/j.patter.2023.100793

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10435954/
https://www.ncbi.nlm.nih.gov/pubmed/37602211
http://dx.doi.org/10.1016/j.patter.2023.100793

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