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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Bibliografische gegevens
Gepubliceerd in:Brief Bioinform
Hoofdauteurs: Zhang, Yun, Aevermann, Brian D, Bakken, Trygve E, Miller, Jeremy A, Hodge, Rebecca D, Lein, Ed S, Scheuermann, Richard H
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: Oxford University Press 2020
Onderwerpen:
Problem Solving Protocol
Online toegang: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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