Dissecting transition cells from single-cell transcriptome data through multiscale stochastic dynamics

Advances in single-cell technologies allow scrutinizing of heterogeneous cell states, however, detecting cell-state transitions from snap-shot single-cell transcriptome data remains challenging. To investigate cells with transient properties or mixed identities, we present MuTrans, a method based on...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhou, Peijie, Wang, Shuxiong, Li, Tiejun, Nie, Qing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8460805/
https://www.ncbi.nlm.nih.gov/pubmed/34556644
http://dx.doi.org/10.1038/s41467-021-25548-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8460805/
https://www.ncbi.nlm.nih.gov/pubmed/34556644
http://dx.doi.org/10.1038/s41467-021-25548-w

Ejemplares similares