plot_tsne_label_by_clusters: Plot TSNE with identified clusters

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

Plot TSNE with identified clusters

Description

Plot TSNE with identified clusters

Usage

plot_tsne_label_by_clusters(
  object,
  show_method = c("walktrap", "louvain", "kmeans", "merged_walktrap", "merged_louvain",
    "merged_kmeans"),
  point.size = 2,
  mark.clusters = TRUE,
  mark.font.size = 10,
  mark.font.color = "yellow",
  add.cluster.in.cells = FALSE,
  cluster.font.size = 1,
  cluster.font.color = "yellow"
)

Arguments

object	The SingCellaR object.
show_method	The clustering method names used to generate clusters.
point.size	The point size. Default 2
mark.clusters	is logical. If TRUE, the number of identified clusters will be displayed.
mark.font.size	The font size of the cluster name.
mark.font.color	The font color of the cluster name.
add.cluster.in.cells	is logical. If TRUE, the cluster name will be displayed in each data point.
cluster.font.size	The font size of cluster name in each data point.
cluster.font.color	The font color of cluster name in each data point.

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