Generalized and scalable trajectory inference in single-cell omics data with VIA

Inferring cellular trajectories using a variety of omic data is a critical task in single-cell data science. However, accurate prediction of cell fates, and thereby biologically meaningful discovery, is challenged by the sheer size of single-cell data, the diversity of omic data types, and the compl...

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Detalles Bibliográficos
Autores principales: Stassen, Shobana V., Yip, Gwinky G. K., Wong, Kenneth K. Y., Ho, Joshua W. K., Tsia, Kevin K.
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/PMC8452770/
https://www.ncbi.nlm.nih.gov/pubmed/34545085
http://dx.doi.org/10.1038/s41467-021-25773-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8452770/
https://www.ncbi.nlm.nih.gov/pubmed/34545085
http://dx.doi.org/10.1038/s41467-021-25773-3

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