plotColouredExpression: plotColouredExpression

In scHOT: single-cell higher order testing

Description

the plotColouredExpression function plots an n-panel scatterplot of the gene pairs split by early, mid, and late in the sample ordering.

Usage

plotColouredExpression(
  scHOT,
  genes,
  genes_delimeter = "_",
  branches = NULL,
  ranked_by = NULL,
  subsetBranch = NULL,
  n = 3,
  fittedline = TRUE,
  assayName = NULL
)

Arguments

scHOT	A scHOT object.
genes	is either a single character string with a delimeter, or a length two character vector
genes_delimeter	is the delimeter to split into two gene names if genes is provided as a single character
branches	A character indicates that the colnames stored the branch information in colData
ranked_by	A character indicates that the colnames stored the ranking information of the cells in colData, such as trajectory time, if it is NULL, it will be ranked based on the branch information.
subsetBranch	subsetBranch is a character vector containing the names of the branches to be plotted. If NULL it will plot all branches
n	number of panels to split ranked samples into, default 3.
fittedline	logical default TRUE, add a lm straight line to the plot
assayName	the name of the assay that are used to plot.

Value

ggplot a ggplot object of scatterplots of expression split by sample ordering

Examples

data(liver)

scHOT_traj <- scHOT_buildFromMatrix(
mat = liver$liver_branch_hep,
cellData = list(pseudotime = liver$liver_pseudotime_hep),
positionType = "trajectory",
positionColData = "pseudotime")

scHOT_traj

plotColouredExpression(scHOT_traj, c("Cdt1","Top2a"), n = 5)

scHOT documentation built on Nov. 8, 2020, 5:06 p.m.