FR-Match: robust matching of cell type clusters from single cell RNA sequencing data using the Friedman–Rafsky non-parametric test

Single cell/nucleus RNA sequencing (scRNAseq) is emerging as an essential tool to unravel the phenotypic heterogeneity of cells in complex biological systems. While computational methods for scRNAseq cell type clustering have advanced, the ability to integrate datasets to identify common and novel c...

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Detalles Bibliográficos
Autores principales: Zhang, Yun, Aevermann, Brian D, Bakken, Trygve E, Miller, Jeremy A, Hodge, Rebecca D, Lein, Ed S, Scheuermann, Richard H
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Problem Solving Protocol
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8294536/
https://www.ncbi.nlm.nih.gov/pubmed/33249453
http://dx.doi.org/10.1093/bib/bbaa339

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8294536/
https://www.ncbi.nlm.nih.gov/pubmed/33249453
http://dx.doi.org/10.1093/bib/bbaa339

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