SuperExactTest is an R package for statistical testing and visualization of mult-set intersections.
SuperExactTest is available from CRAN so the simplest way to install in R is by running install.packages("SuperExactTest").
To install the latest update from here in github, run devtools::install_github("mw201608/SuperExactTest") in R.
Detailed description about the package and sample analysis code is available from vignette("set_html",package="SuperExactTest") (link) after installation.
A shiny application has been deployed at shinyapps.io (see also github), allowing users to run and visualize SuperExactTest analysis online.
library(SuperExactTest)
set.seed(1234)
#generate random strings
n=400
r_strings <- do.call(paste0, replicate(5, sample(LETTERS, n, TRUE), FALSE))
input=lapply(c(40,60,80,200),function(x,s) sample(s,x),s=r_strings)
Result=supertest(input,n=n)
#Plot the intersections with a split y-axis and
#show elements of the intersections with no more than 20 elements
#png('examples/ex1.png',width=2000,height=2000,res=300)
plot(Result, Layout="landscape", sort.by="size", keep=FALSE,
bar.split=c(70,180), show.elements=TRUE, elements.cex=0.7,
elements.list=subset(summary(Result)$Table,Observed.Overlap <= 20),
show.expected.overlap=TRUE,expected.overlap.style="hatchedBox",
color.expected.overlap='red')
#dev.off()
Assign discrete colors to denote the sets that are involved in each intersection by setting color.on to NULL or a vector of colors.
#png('examples/ex1color.png',width=2000,height=2000,res=300)
plot(Result, Layout="landscape", sort.by="size", keep=FALSE,
bar.split=c(70,180), show.elements=TRUE, elements.cex=0.7,
elements.list=subset(summary(Result)$Table,Observed.Overlap <= 20),
show.expected.overlap=TRUE,expected.overlap.style="hatchedBox",
color.expected.overlap='red', color.on = NULL)
#dev.off()
As of version 1.0.7, we can change the order of the intersection bars in a customized way through option sort.by.
For example, let us switch the orders of the fourth and fifth bars in the above figure.
#First extract the intersection barcodes ordered by size
order1=names(sort(Result$overlap.sizes,decreasing=TRUE))
#Then switch the orders of the fourth and fifth element
order2=order1[c(1:3,5,4,6:length(order1))]
print(order1)
print(order2)
#Now plot with the new order
#png('examples/ex2.png',width=2000,height=2000,res=300)
plot(Result, Layout="landscape", sort.by=order2, keep=FALSE,
bar.split=c(70,180), show.elements=TRUE, elements.cex=0.7,
elements.list=subset(summary(Result)$Table,Observed.Overlap <= 20),
show.expected.overlap=TRUE,expected.overlap.style="hatchedBox",
color.expected.overlap='red', color.on = NULL)
#dev.off()
With this option sort.by, we can also show a subset of the intersection bars easily. Eg, let us plot the 10 largest overlaps.
order3=order1[1:10]
#png('examples/ex2b.png',width=2000,height=2000,res=300)
plot(Result, Layout="landscape", sort.by=order3,
bar.split=c(70,180), show.elements=TRUE, elements.cex=0.7,
elements.list=subset(summary(Result)$Table,Observed.Overlap <= 20),
show.expected.overlap=TRUE,expected.overlap.style="hatchedBox",
color.expected.overlap='red', color.on = NULL)
#dev.off()
We can also flip the bars upside down using option flip.vertical=TRUE.
#png('examples/ex3.png',width=2000,height=2000,res=300)
plot(Result, Layout="landscape", sort.by=order2, keep=FALSE,
bar.split=c(70,180), show.elements=TRUE, elements.cex=0.7,
elements.list=subset(summary(Result)$Table,Observed.Overlap <= 20),
show.expected.overlap=TRUE,expected.overlap.style="hatchedBox",
color.expected.overlap='red', color.on = NULL, flip.vertical=TRUE)
#dev.off()
Show fold enrichment rather than overlp size on top of the bars (since v1.0.7.1).
#png('examples/ex4.png',width=2000,height=2000,res=300)
plot(Result, Layout="landscape", sort.by=order2, keep=FALSE,
bar.split=c(70,180), show.elements=TRUE, elements.cex=0.7,
show.fold.enrichment=TRUE,
elements.list=subset(summary(Result)$Table,Observed.Overlap <= 20),elements.rot=45,
show.expected.overlap=TRUE,expected.overlap.style="hatchedBox",
color.expected.overlap='red', color.on = NULL)
#dev.off()
We can combine multiple SuperExactTest plots on the same page by setting new.gridPage = FALSE. For example, to arrange two SuperExactTest figures side by side, we can:
#png('examples/ex5.png',width=4000,height=2000,res=300)
grid.newpage()
vp0 <- viewport(layout = grid.layout(1, 2))
vp1 <- viewport(layout.pos.col = 1, layout.pos.row = 1, name = "plot_left")
vp2 <- viewport(layout.pos.col = 2, layout.pos.row = 1, name = "plot_right")
vps <- vpTree(vp0, vpList(vp1, vp2))
pushViewport(vps)
seekViewport("plot_left")
plot(Result, Layout="landscape", sort.by='size', keep=FALSE,
bar.split=c(70,180), show.fold.enrichment=TRUE,
show.expected.overlap=TRUE, expected.overlap.style="hatchedBox",
color.expected.overlap='red', color.on = NULL,
title = 'Figure A. Landscape layout', new.gridPage = FALSE)
seekViewport("plot_right")
plot(Result, Layout="circular", sort.by='size', keep=FALSE,
show.expected.overlap=TRUE,expected.overlap.style="hatchedBox",
color.expected.overlap='red', color.on = NULL,
title = 'Figure B. Circular layout', new.gridPage = FALSE)
#dev.off()
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