multiClusterPeaks {PeakSegJoint} | R Documentation |
multiClusterPeaks
Description
Cluster peaks
into overlapping groups.
Usage
multiClusterPeaks(peaks)
Arguments
peaks |
data.frame with columns chromStart, chromEnd. |
Value
peaks
data.frame, sorted by chromStart, with an additional column
cluster.
Author(s)
Toby Dylan Hocking
Examples
library(PeakSegJoint)
data(chr7.peaks, envir=environment())
library(ggplot2)
ggplot()+
geom_segment(aes(
chromStart/1e3, sample.id,
xend=chromEnd/1e3, yend=sample.id),
data=chr7.peaks)
clustered <- multiClusterPeaks(chr7.peaks)
clustered.list <- split(clustered, clustered$cluster)
clusters.list <- list()
for(cluster.name in names(clustered.list)){
clusters.list[[cluster.name]] <- with(
clustered.list[[cluster.name]], data.frame(
cluster=cluster[1],
clusterStart=as.integer(median(chromStart)),
clusterEnd=as.integer(median(chromEnd))))
}
clusters <- do.call(rbind, clusters.list)
ggplot()+
geom_segment(aes(
chromStart/1e3, sample.id,
color=factor(cluster),
xend=chromEnd/1e3, yend=sample.id),
data=clustered)+
geom_segment(aes(
clusterStart/1e3, "clusters",
color=factor(cluster),
xend=clusterEnd/1e3, yend="clusters"),
data=clusters)
[Package PeakSegJoint version 2024.6.27 Index]