nice_feature_plot: nice_feature_plot

In mvhunter1/mvhspatialplots: Some improved functions for analysis of ST and GSEA data.

Description

nicer looking version of the Seurat function FeaturePlot.

Usage

nice_feature_plot(
  seurat_obj,
  features,
  pt.size = 1.3,
  n_col = NULL,
  reduction = "umap",
  dims_plot = 1:2,
  diverging_cmap = F,
  scale_data = F,
  cutoffs = NA,
  order = F,
  cols = NULL
)

Arguments

seurat_obj	Seurat object.
features	genes to plot.
pt.size	size of plotted points.
n_col	if plotting multiple genes, number of columns in final plot_grid object.
reduction	one of "umap" or "pca".
dims_plot	number of dimensions to plot.
diverging_cmap	if T, will fill points with diverging colours between blue and red. otherwise, will use a linear colourmap.
scale_data	plot Z-scored data?
cutoffs	expression level cutoffs for plotting.
order	plot cells in order of expression?
cols	optional: colourmap.

Value

UMAP or PCA plot.

mvhunter1/mvhspatialplots documentation built on April 24, 2021, 10:52 a.m.