plotAMR | R Documentation |
'plotAMR' uses 'ggplot2' to visualize aberrantly methylated regions (AMRs) at particular genomic locations.
plotAMR(
data.ranges,
data.samples = NULL,
amr.ranges,
highlight = NULL,
title = NULL,
labs = c("genomic position", "beta value"),
window = 300
)
data.ranges |
A 'GRanges' object with genomic locations and corresponding beta values included as metadata. |
data.samples |
A character vector with sample names (a subset of metadata column names) to be included in the plot. If 'NULL' (the default), then all samples (metadata columns) are included. |
amr.ranges |
An output of 'getAMR' - a 'GRanges' object that contain aberrantly methylated regions (AMRs). |
highlight |
An optional list of samples to highlight. If NULL (the default), will contain sample IDs from the 'sample' metadata column of 'amr.ranges' object. |
title |
An optional title for the plot. If NULL (the default), plot title is set to a genomic location of particular AMR. |
labs |
Optional axis labels for the plot. Default: c("genomic position", "beta value"). |
window |
An optional integer constant to expand genomic ranges of the 'amr.ranges' object (the default: 300). |
For every non-overlapping genomic location from 'amr.ranges' object, 'plotAMR' plots and outputs a line graph of methylation beta values taken from 'data.ranges' for all samples from 'data.samples'. Samples bearing significantly different methylation profiles ('sample' column of 'amr.ranges' object) are highlighted.
The output is a list of 'ggplot' objects.
getAMR
for identification of AMRs,
getUniverse
for info on enrichment analysis,
simulateAMR
and simulateData
for the generation
of simulated test data sets, and 'ramr' vignettes for the description of
usage and sample data.
data(ramr)
plotAMR(ramr.data, ramr.samples, ramr.tp.unique[1])
library(gridExtra)
do.call("grid.arrange",
c(plotAMR(ramr.data, ramr.samples, ramr.tp.nonunique), ncol=2))
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