Differential abundance testing on single-cell data using k-nearest neighbor graphs

Emma Dann(Wellcome Sanger Institute), Neil C. Henderson(Centre for Inflammation Research), Sarah A. Teichmann(University of Cambridge), Michael D. Morgan(European Bioinformatics Institute), John C. Marioni(European Bioinformatics Institute)
Nature Biotechnology
September 30, 2021
10.1038/s41587-021-01033-z
Cited by 897Open Access
Full Text

Abstract

Related Papers

<tt>edgeR</tt> : a Bioconductor package for differential expression analysis of digital gene expression data
Mark D. Robinson, Davis J. McCarthy, Gordon K. Smyth|Bioinformatics|2009|44.3k
limma powers differential expression analyses for RNA-sequencing and microarray studies
Matthew E. Ritchie, Belinda Phipson, Di Wu et al.|Nucleic Acids Research|2015|42.7k
clusterProfiler: an R Package for Comparing Biological Themes Among Gene Clusters
Guangchuang Yu, Li-Gen Wang, Yanyan Han et al.|OMICS A Journal of Integrative Biology|2012|37.9k
Bioconductor: open software development for computational biology and bioinformatics
Robert Gentleman, Vincent J. Carey, Douglas M. Bates et al.|Genome biology|2004|12.5k
Enrichr: a comprehensive gene set enrichment analysis web server 2016 update
Maxim V. Kuleshov, Matthew R. Jones, Andrew D. Rouillard et al.|Nucleic Acids Research|2016|11.6k