gpatterns.plot_cg_cor: Plot CpG correlation (pearson) as a function of distance...

In tanaylab/gpatterns: Single Molecule Methylation Patterns Analysis Suite

Plot CpG correlation (pearson) as a function of distance between CpGs

Description

Plot CpG correlation (pearson) as a function of distance between CpGs

Usage

gpatterns.plot_cg_cor(
  tracks,
  dist_breaks,
  intervals = gintervals.all(),
  adjacent = FALSE,
  names = NULL,
  width = 500,
  height = 260,
  fig_fn = NULL,
  xlab = "Distance between CpGs",
  ylab = "CpG correlation",
  colors = NULL,
  parallel = getOption("gpatterns.parallel"),
  ...
)

Arguments

tracks	tracks to plot
dist_breaks	distance breaks
intervals	genomic scope for which the function is applied
adjacent	plot correlation only between adjacent CpGs (faster)
names	alternative names for the track
width	plot width (if fig_fn is not NULL)
height	plot height (if fig_fn is not NULL)
fig_fn	output filename for the figure (if NULL, figure would be returned)
xlab	label for the x axis
ylab	label for the y axis
colors	custom colors
parallel	parallel
...

Value

list with trend data frame (under 'trend') and the plot (under 'p')

tanaylab/gpatterns documentation built on May 15, 2023, 6:23 p.m.