Tumor evolution in breast cancer pre & post neoadjuvant treatment.
Fish plots are designed to visualize tumor evolution. This visualizationwas inspired by the fishplot package for R by Christopher A. Miller, Joshua McMichael, Ha X. Dang, Christopher A. Maher, Li Ding, Timothy J. Ley, Elaine R. Mardis & Richard K. Wilson
<html>
<head>
<!-- Include the CanvasXpress library in your HTML file -->
<link rel="stylesheet" href="https://www.canvasxpress.org/dist/canvasXpress.css" type="text/css"/>
<script src="https://www.canvasxpress.org/dist/canvasXpress.min.js"></script>
</head>
<body>
<!-- Create a canvas element for the chart with the desired dimensions -->
<div>
<canvas id="canvasId" width="600" height="600"></canvas>
</div>
<!-- Create a script to initialize the chart -->
<script>
// Use a data frame (2D-array) for the graph
var data = [
[ "Id", "S1", "S2", "S3", "S4"],
[ "Primary", 100, 98, 46, 1],
[ "Post-AI", 100, 44, 1, 55 ]
];
// Create the configuration for the graph
var config = {
"backgroundType" : "panelSolidGradient",
"colorSpectrum" : ["#ffe4c4","#ffb90f","#cd6600"],
"colors" : ["#1B9E77","#D95F02","#7570B3","#E7298A"],
"fishAxis" : [0,120],
"fishAxisLabels" : ["Primary","Post-AI"],
"fishParents" : [0,1,2,1],
"fishShape" : "polygon",
"fishTimepoints" : [0,120],
"gradientOrientation" : "horizontal",
"graphType" : "Fish",
"legendKeyBackgroundBorderColor" : "rgba(255,255,255,0)",
"legendKeyBackgroundColor" : "rgba(255,255,255,0)",
"title" : "BRC32",
"xAxis": ["S1","S2","S3","S4"]
}
// 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>
<html>
<head>
<!-- Include the CanvasXpress library in your HTML file -->
<link rel="stylesheet" href="https://www.canvasxpress.org/dist/canvasXpress.css" type="text/css"/>
<script src="https://www.canvasxpress.org/dist/canvasXpress.min.js"></script>
</head>
<body>
<!-- Create a canvas element for the chart with the desired dimensions -->
<div>
<canvas id="canvasId" width="600" height="600"></canvas>
</div>
<!-- Create a script to initialize the chart -->
<script>
// Create the data for the graph
var data = {
"y" : {
"data" : [
[100,100],
[98,44],
[46,1],
[1,55]
],
"smps" : ["Primary","Post-AI"],
"vars" : ["S1","S2","S3","S4"]
}
}
// Create the configuration for the graph
var config = {
"backgroundType" : "panelSolidGradient",
"colorSpectrum" : ["#ffe4c4","#ffb90f","#cd6600"],
"colors" : ["#1B9E77","#D95F02","#7570B3","#E7298A"],
"fishAxis" : [0,120],
"fishAxisLabels" : ["Primary","Post-AI"],
"fishParents" : [0,1,2,1],
"fishShape" : "polygon",
"fishTimepoints" : [0,120],
"gradientOrientation" : "horizontal",
"graphType" : "Fish",
"legendKeyBackgroundBorderColor" : "rgba(255,255,255,0)",
"legendKeyBackgroundColor" : "rgba(255,255,255,0)",
"title" : "BRC32",
"xAxis": ["S1","S2","S3","S4"]
}
// 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-fish3-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
backgroundType="panelSolidGradient",
colorSpectrum=list("#ffe4c4", "#ffb90f", "#cd6600"),
colors=list("#1B9E77", "#D95F02", "#7570B3", "#E7298A"),
fishAxis=list(0, 120),
fishAxisLabels=list("Primary", "Post-AI"),
fishParents=list(0, 1, 2, 1),
fishShape="polygon",
fishTimepoints=list(0, 120),
gradientOrientation="horizontal",
graphType="Fish",
legendKeyBackgroundBorderColor="rgba(255,255,255,0)",
legendKeyBackgroundColor="rgba(255,255,255,0)",
title="BRC32",
xAxis=list("S1", "S2", "S3", "S4")
)




