MD.plot2: Visualize the MD plot.

In dozmorovlab/HiCcompare: HiCcompare: Joint normalization and comparative analysis of multiple Hi-C datasets

Visualize the MD plot.

Description

Visualize the MD plot.

Usage

MD.plot2(M, D, p.val = NA, diff.thresh = NA, smooth = TRUE)

Arguments

M	The M component of the MD plot. Available from the hic.table object.
D	The D component of the MD plot. The unit distance of the interaction. Available from the hic.table object.
p.val	An optional p-value vector to provide color to the plot based on the significance of the differences between the IFs.
diff.thresh	A difference threshold used for calculating p-values. If set to a value will add dotted horizontal lines to the plot to display the threshold cutoffs. See 'hic_loess' or 'hic_diff' functions help for more information on this parameter.
smooth	Should smooth scatter plots be used? If set to FALSE ggplot scatter plots will be used. When option is TRUE, plots generate quicker. It is recommend to use the smooth scatter plots.

Value

An MD plot.

Examples

data('HMEC.chr22')
data('NHEK.chr22')
hic.table <- create.hic.table(HMEC.chr22, NHEK.chr22, chr='chr22')
# Plug hic.table into hic_loess()
result <- hic_loess(hic.table)
# perform difference detection
diff.result <- hic_compare(result)
MD.plot2(diff.result$M, diff.result$D, diff.result$p.value)

dozmorovlab/HiCcompare documentation built on June 30, 2023, 3:09 a.m.