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<!DOCTYPE html>
<html lang="en">
<html>
<head>
<title>DIABLO</title>
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<a class="navbar-brand" href="https://www.biorxiv.org/content/early/2018/03/20/067611">DIABLO</a>
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<p ><span id="diablo" href="">DIABLO</span><br>
<strong>D</strong>ata <strong>I</strong>ntegration <strong>A</strong>nalysis and <strong>B</strong>iomarker discovery using <strong>L</strong>atent c<strong>O</strong>mponents (DIABLO) is a versatile, component-based method that can integrate multiple high dimensional datasets and identify key variables that discriminate between phenotypic groups. DIABLO is available through the <a href="http://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1005752">mixOmics</a> data integration toolkit (<a href="http://mixomics.org/">www.mixomics.org</a>) which contains a wide range of multivariate methods for the exploration and integration of high dimensional biological datasets.</p>
<p><a href="https://www.biorxiv.org/content/early/2018/03/20/067611">DIABLO manuscript</a> | <a href="https://github.com/singha53/diablo_datasets">manuscript datasets</a> | <a href="https://github.com/singha53/diablo">manuscript code</a> | <a href="http://mixomics.org/">mixOmics R-toolkit</a></p>
<p>First Author: <a href="http://amritsingh.ca/">Dr. Amrit Singh</a> | Last Author:
<a href="https://findanexpert.unimelb.edu.au/display/person791255"> Dr. Kim-Anh Lê Cao</a></p>
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<p>© 2018 Amrit Singh. All Rights Reserved </p>
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