BuildAUCRank | R Documentation |
Build AUCell ranking matrix using 'AUCell' package:
Aibar et al. (2017) SCENIC: single-cell regulatory network inference and clustering. Nature Methods. doi: 10.1038/nmeth.4463
Aibar. et al. (2016) AUCell: Analysis of 'gene set' activity in single-cell RNA-seq data. R/Bioconductor package.
BuildAUCRank(seu, slot = "counts", assay = "RNA", verbose = TRUE)
seu |
Seurat object |
slot |
Slot to pull feature data for, Default: 'counts' |
assay |
Name of assay to use, Default: 'RNA' |
verbose |
Should the function show progress messages? Default: TRUE |
AUCell ranking matrix is saved in seu@misc$AUCell[["cells_rankings"]]
Seurat object.
library(SeuratExtend)
options(max.print = 20)
pbmc <- BuildAUCRank(pbmc)
pbmc@misc$AUCell[["cells_rankings"]][3,4]
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