Cell Layers: uncovering clustering structure in unsupervised single-cell transcriptomic analysis

MOTIVATION: Unsupervised clustering of single-cell transcriptomics is a powerful method for identifying cell populations. Static visualization techniques for single-cell clustering only display results for a single resolution parameter. Analysts will often evaluate more than one resolution parameter...

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Detalles Bibliográficos
Autores principales: Blair, Andrew P, Hu, Robert K, Farah, Elie N, Chi, Neil C, Pollard, Katherine S, Przytycki, Pawel F, Kathiriya, Irfan S, Bruneau, Benoit G
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Application Note
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9362878/
https://www.ncbi.nlm.nih.gov/pubmed/35967929
http://dx.doi.org/10.1093/bioadv/vbac051

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9362878/
https://www.ncbi.nlm.nih.gov/pubmed/35967929
http://dx.doi.org/10.1093/bioadv/vbac051

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