Clustvis: a web tool for visualizing clustering of multivariate data
This web tool allows users to upload their own data and easily create Principal Component Analysis (PCA) plots and heatmaps. Data can be uploaded as a file or by copy-pasteing it to the text box. Data format is shown under "Help" tab.
The tool is inspired by discussions in PREDECT project and borrows some code from BoxPlotR. Several R packages are used internally, including shiny, ggplot2, pheatmap, gridSVG, RColorBrewer, FactoMineR, pcaMethods, gProfileR, shinyBS, shinyjs and others. It is developed in BIIT Research Group. The source code of ClustVis is available in GitHub.
link to website: https://biit.cs.ut.ee/clustvis/
<html> <head> </head> <body> <script type="text/javascript">(function(d, t, e, m){
// Async Rating-Widget initialization. window.RW_Async_Init = function(){ RW.init({ huid: "141148", uid: "6db8b62d52afa816e07e3917b2d0ce28", source: "website", options: { "advanced": { "layout": { "lineHeight": "22px" } }, "size": "medium", "style": "oxygen" } }); RW.render(); };
// Append Rating-Widget JavaScript library. var rw, s = d.getElementsByTagName(e)[0], id = "rw-js", p = d.location.protocol, a = ("https:" == p ? "secure." + m + "js/" : "js." + m), ck = "Y" + t.getFullYear() + "M" + t.getMonth() + "D" + t.getDate(); if (d.getElementById(id)) return; rw = d.createElement(e); rw.id = id; rw.async = true; rw.type = "text/javascript"; rw.src = p + "//" + a + "external.min.js?ck=" + ck; s.parentNode.insertBefore(rw, s);
}(document, new Date(), "script", "rating-widget.com/"));</script>
</body> </html>