plot_tsne_label_by_AUCell_score: Plot TSNE with AUCell score

In supatt-lab/SingCellaR: SingCellaR: an integrative analysis tool for single-cell RNA sequencing (scRNA-seq) data

Plot TSNE with AUCell score

Description

Plot TSNE with AUCell score

Usage

plot_tsne_label_by_AUCell_score(
  object,
  geneSets.AUC,
  show_gene_sets = c(),
  isUseCutOffScore = F,
  cutOffScore = 0,
  isSubtract.random.gene = T,
  point.size = 1,
  point.color1 = "gray",
  point.color2 = "red"
)

Arguments

object	The SingCellaR object.
geneSets.AUC	The dataframe of AUCell score per gene set.
show_gene_sets	The vector of gene set names
isUseCutOffScore	is logical. If TRUE, the cutoff score will be applied.
cutOffScore	The cutoff score. Default 0
isSubtract.random.gene	is logical. If TRUE, the AUC score will be subtracted by the AUCell score from the random gene set.
point.size	The point size. Default 1
point.color1	The color for a low AUCell score. Default gray
point.color2	The color for a high AUCell score . Default red

supatt-lab/SingCellaR documentation built on Aug. 24, 2023, 5:49 p.m.