Dynamic distribution decomposition for single-cell snapshot time series identifies subpopulations and trajectories during iPSC reprogramming

Recent high-dimensional single-cell technologies such as mass cytometry are enabling time series experiments to monitor the temporal evolution of cell state distributions and to identify dynamically important cell states, such as fate decision states in differentiation. However, these technologies a...

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Detalles Bibliográficos
Autores principales: Taylor-King, Jake P., Riseth, Asbjørn N., Macnair, Will, Claassen, Manfred
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6953770/
https://www.ncbi.nlm.nih.gov/pubmed/31923173
http://dx.doi.org/10.1371/journal.pcbi.1007491

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6953770/
https://www.ncbi.nlm.nih.gov/pubmed/31923173
http://dx.doi.org/10.1371/journal.pcbi.1007491

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