A multiresolution framework to characterize single-cell state landscapes

Dissecting the cellular heterogeneity embedded in single-cell transcriptomic data is challenging. Although many methods and approaches exist, identifying cell states and their underlying topology is still a major challenge. Here, we introduce the concept of multiresolution cell-state decomposition a...

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Detalles Bibliográficos
Autores principales: Mohammadi, Shahin, Davila-Velderrain, Jose, Kellis, Manolis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7588427/
https://www.ncbi.nlm.nih.gov/pubmed/33106496
http://dx.doi.org/10.1038/s41467-020-18416-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7588427/
https://www.ncbi.nlm.nih.gov/pubmed/33106496
http://dx.doi.org/10.1038/s41467-020-18416-6

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