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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

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