Discover Data Overlaps with UpSet Plot
UpSet graphs are a powerful visualization tool for exploring relationships between sets of data. They excel at showing overlaps between multiple sets simultaneously, making them ideal for identifying commonalities and differences across complex datasets. Unlike traditional Venn diagrams, UpSet graphs effectively handle a larger number of sets, providing a clear and concise representation even when dealing with many intersecting groups. This visualization technique is particularly useful in various fields, including bioinformatics, where it is used to analyze gene expression data, and market research, where it assists in understanding customer demographics and preferences. The ability to quickly visualize intricate relationships makes UpSet graphs a valuable asset for researchers and data analysts seeking insights from complex data.
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// ... (data truncated after 29 records for clarity)
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"vars" : ["02-0003","02-0033","02-0047","02-0055","02-2470","02-2483","02-2485","02-2486","06-0119","06-0122","06-0124","06-0126","06-0128","06-0129","06-0130","06-0132","06-0137","06-0139","06-0140","06-0141","06-0142","06-0145","06-0151","06-0152","06-0154","06-0155","06-0157","06-0158","06-0165","06-0166","06-0167","06-0168","06-0169","06-0173","06-0174","06-0178","06-0184","06-0185","06-0188","06-0189","06-0192","06-0195","06-0209","06-0213","06-0214","06-0216","06-0219","06-0237","06-0238","06-0240","06-0241","06-0644","06-0645","06-0646","06-0648","06-0649","06-0650","06-0686","06-0743","06-0744","06-0745","06-0747","06-0749","06-0750","06-0875","06-0876","06-0877","06-0878","06-0879","06-0881","06-0882","06-0939","06-1804","06-1806","06-2557","06-2558","06-2559","06-2561","06-2562","06-2563","06-2564","06-2565","06-2567","06-2569","06-2570","06-5408","06-5410","06-5411","06-5412","06-5413","06-5414","06-5415","06-5417","06-5418","06-5856","06-5858","06-5859","06-6388","06-6389","06-6390","06-6391","06-6693","06-6694","06-6695","06-6697","06-6698","06-6699","06-6700","06-6701","08-0386","12-0615","12-0616","12-0618","12-0619","12-0688","12-0692","12-0821","12-1597","12-3649","12-3650","12-3652","12-3653","12-5295","12-5299","12-5301","14-0740","14-0781","14-0786","14-0787","14-0789","14-0790","14-0813","14-0817","14-0862","14-0871","14-1043","14-1395","14-1450","14-1456","14-1823","14-1825","14-1829","14-2554","14-3476","14-4157","15-0742","15-1444","16-0846","16-0861","16-1045","16-1048","19-1390","19-1790","19-2619","19-2620","19-2623","19-2624","19-2625","19-2629","19-2631","19-4068","19-5947","19-5950","19-5951","19-5952","19-5953","19-5954","19-5955","19-5958","19-5959","19-5960","26-1439","26-1442","26-5132","26-5133","26-5134","26-5135","26-5136","26-5139","26-6173","26-6174","27-1830","27-1831","27-1832","27-1833","27-1834","27-1835","27-1836","27-1837","27-1838","27-2518","27-2519","27-2521","27-2523","27-2524","27-2526","27-2527","27-2528","28-1747","28-1753","28-2499","28-2501","28-2502","28-2509","28-2510","28-2513","28-2514","28-5204","28-5207","28-5208","28-5209","28-5211","28-5213","28-5214","28-5215","28-5216","28-5218","28-5219","28-5220","28-6450","32-1970","32-1977","32-1979","32-1980","32-1982","32-1986","32-1991","32-2491","32-2494","32-2495","32-2498","32-2615","32-2632","32-2634","32-2638","32-4208","32-4209","32-4210","32-4211","32-4213","32-4719","32-5222","41-2571","41-2572","41-2573","41-2575","41-3392","41-3393","41-3915","41-4097","41-5651","41-6646","74-6573","74-6575","74-6577","74-6578","74-6584","76-4925","76-4926","76-4927","76-4928","76-4929","76-4931","76-4932","76-4934","76-4935","76-6191","76-6192","76-6193","76-6280","76-6282","76-6283","76-6285","76-6286","76-6656","76-6657","76-6660","76-6661","76-6662","76-6663","76-6664","81-5910","81-5911","87-5896"]
}
}
// Create the configuration for the graph
var config = {
"graphType" : "Heatmap",
"heatmapType" : "upset",
"xAxis" : ["TTN","PTEN","TP53","EGFR","MUC16","FLG","RYR2","PCLO","PIK3R1","PIK3CA","NF1","MUC17","HMCN1","SPTA1","USH2A","RB1","PKHD1","OBSCN","AHNAK2","RYR3","RELN","FRAS1","GPR98","DNAH5","ATRX","APOB","TCHH","SYNE1","LRP2","KEL","HRNR","DNAH3","COL6A3","MUC5B","LAMA1","DSP","DNAH8","CNTNAP2","SDK1","NBPF10","DNAH2","NLRP5","MLL3","IDH1","HCN1","FCGBP","DOCK5","RIMS2","PCDHA1","MXRA5","HEATR7B2","GRIN2A","FGD5","TMEM132D","STAG2","SEMA3C","SCN9A","PRDM9","POM121L12","PIK3CG","PDGFRA","GABRA6","FLG2","FBN3","FBN2","FAT2","DNAH11","DMD","COL1A2","ABCC9","XIRP2","TSHZ2","TEX15","SLIT3","RBM47","PIK3C2G","PCDH11X","MYH2","MACF1","KSR2","DNAH9","DCHS2","CSMD3","CDH18","BCOR","AHNAK","ZAN","TRRAP","THSD7B","TAF1L","SPAG17","SLCO5A1","SCN10A","RYR1","RIMBP2","PLEKHG4B","PCDHB7","NPTX2","NOS1","LZTR1"]
}
// Event used to create graph (optional)
var events = false
// Call the CanvasXpress function to create the graph
var cX = new CanvasXpress("canvasId", data, config, events);
</script>
</body>
</html>
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-upsetMutations-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
graphType="Heatmap",
heatmapType="upset",
xAxis=list("TTN", "PTEN", "TP53", "EGFR", "MUC16", "FLG", "RYR2", "PCLO", "PIK3R1", "PIK3CA", "NF1", "MUC17", "HMCN1", "SPTA1", "USH2A", "RB1", "PKHD1", "OBSCN", "AHNAK2", "RYR3", "RELN", "FRAS1", "GPR98", "DNAH5", "ATRX", "APOB", "TCHH", "SYNE1", "LRP2", "KEL", "HRNR", "DNAH3", "COL6A3", "MUC5B", "LAMA1", "DSP", "DNAH8", "CNTNAP2", "SDK1", "NBPF10", "DNAH2", "NLRP5", "MLL3", "IDH1", "HCN1", "FCGBP", "DOCK5", "RIMS2", "PCDHA1", "MXRA5", "HEATR7B2", "GRIN2A", "FGD5", "TMEM132D", "STAG2", "SEMA3C", "SCN9A", "PRDM9", "POM121L12", "PIK3CG", "PDGFRA", "GABRA6", "FLG2", "FBN3", "FBN2", "FAT2", "DNAH11", "DMD", "COL1A2", "ABCC9", "XIRP2", "TSHZ2", "TEX15", "SLIT3", "RBM47", "PIK3C2G", "PCDH11X", "MYH2", "MACF1", "KSR2", "DNAH9", "DCHS2", "CSMD3", "CDH18", "BCOR", "AHNAK", "ZAN", "TRRAP", "THSD7B", "TAF1L", "SPAG17", "SLCO5A1", "SCN10A", "RYR1", "RIMBP2", "PLEKHG4B", "PCDHB7", "NPTX2", "NOS1", "LZTR1")
)
