plot.exstra_tsum: Plot exstra_tsum, highlighting significant results

In bahlolab/exSTRa: Expanded STR algorithm: detecting expansions in Illumina sequencing data

Plot exstra_tsum, highlighting significant results

Description

Plot the significant results of a tsum

Usage

## S3 method for class 'exstra_tsum'
plot(
  x,
  loci = NULL,
  sample_col = NULL,
  correction = NULL,
  alpha = NULL,
  controls_label = "Not significant",
  alpha_nonsignif = 0.25,
  ...
)

Arguments

x	An exstra_tsum object.
loci	Character vector of locus or loci to plot.
sample_col	Named (samples) vector of charcters defining colors.
correction	Apply this correction method from p_values. If NULL, then the correction already applied to tsum is used.
alpha	Significance level. If NULL, then the significance already applied to tsum is used. (default 0.05)
controls_label	Generic label for all control samples.
alpha_nonsignif	Transparency alpha value for nonsignificant samples.
...	further arguments to plot.exstra_score

See Also

plot.exstra_score

bahlolab/exSTRa documentation built on Sept. 17, 2022, 5:08 p.m.