Created
May 17, 2012 08:00
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venn plot
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| x <- read.csv("/Volumes/YGC/Researches/ARCHIVE/Others/AL-1-by-GR.Yan/2D-data-and-analysis-result/2D.csv") | |
| eg <- as.character(x[,1]) | |
| require(clusterProfiler) | |
| xx <- enrichGO(eg, ont="BP") | |
| gg <- xx@geneInCategory | |
| names(gg) <- clusterProfiler:::TERM2NAME.BP(names(gg)) | |
| g <- gg[1:4] | |
| require(gplots) | |
| vm <- venn(g) | |
| vm <- vm[,names(g)] | |
| require(venneuler) | |
| v <- venneuler(vm) | |
| getCol <- function(col, alpha=0.3) { | |
| col <- hcl(col * 360, 130, 60) | |
| col <- col2rgb(col)/255 | |
| col <- rgb(col[1, ], col[2, ], col[3, ], alpha) | |
| col | |
| } | |
| col <- getCol(v$colors) | |
| lbs <- v$labels | |
| id <- match(names(g), lbs) | |
| plot(v) | |
| legend(legend=lbs[id], fill=col[id], x="topright") |
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