DeepVelo: Single-cell transcriptomic deep velocity field learning with neural ordinary differential equations

Recent advances in single-cell sequencing technologies have provided unprecedented opportunities to measure the gene expression profile and RNA velocity of individual cells. However, modeling transcriptional dynamics is computationally challenging because of the high-dimensional, sparse nature of th...

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Detalles Bibliográficos
Autores principales: Chen, Zhanlin, King, William C., Hwang, Aheyon, Gerstein, Mark, Zhang, Jing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Association for the Advancement of Science 2022
Materias:
Biomedicine and Life Sciences
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9710871/
https://www.ncbi.nlm.nih.gov/pubmed/36449617
http://dx.doi.org/10.1126/sciadv.abq3745

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9710871/
https://www.ncbi.nlm.nih.gov/pubmed/36449617
http://dx.doi.org/10.1126/sciadv.abq3745

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