genePlot: Scatter plot of single cell data

In paodan/studySeu: Seurat : R toolkit for single cell genomics

Description

Creates a scatter plot of two features (typically gene expression), across a set of single cells. Cells are colored by their identity class.

Usage

genePlot(object, gene1, gene2, cell.ids = NULL, col.use = NULL,
  pch.use = 16, cex.use = 1.5, use.imputed = FALSE, do.ident = FALSE,
  do.spline = FALSE, spline.span = 0.75, ...)

Arguments

object	Seurat object
gene1	First feature to plot. Typically gene expression but can also be metrics, PC scores, etc. - anything that can be retreived with fetch.data
gene2	Second feature to plot.
cell.ids	Cells to include on the scatter plot.
col.use	Colors to use for identity class plotting.
pch.use	Pch argument for plotting
cex.use	Cex argument for plotting
use.imputed	Use imputed values for gene expression (Default is FALSE)
do.ident	False by default. If TRUE,
do.spline	Add a spline (currently hardwired to df=4, to be improved)
...	Additional arguments to be passed to plot.

Value

No return, only graphical output

paodan/studySeu documentation built on May 23, 2019, 3:06 p.m.