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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Détails bibliographiques
Publié dans:Brief Bioinform
Auteurs principaux: Zhang, Yun, Aevermann, Brian D, Bakken, Trygve E, Miller, Jeremy A, Hodge, Rebecca D, Lein, Ed S, Scheuermann, Richard H
Format: Artigo
Langue:Inglês
Publié: Oxford University Press 2020
Sujets:
Problem Solving Protocol
Accès en ligne:https://ncbi.nlm.nih.gov/pmc/articles/PMC8294536/
https://ncbi.nlm.nih.gov/pubmed/33249453
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bib/bbaa339
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