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<!DOCTYPE html>
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<title>Aim | Network analysis approach using morphological profiling of chemical perturbation</title>
<meta name="description" content="This is a master’s project manuscript for pharmaceutical modeling program" />
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<meta property="og:title" content="Aim | Network analysis approach using morphological profiling of chemical perturbation" />
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<meta name="twitter:title" content="Aim | Network analysis approach using morphological profiling of chemical perturbation" />
<meta name="twitter:description" content="This is a master’s project manuscript for pharmaceutical modeling program" />
<meta name="author" content="Nima Chamyani" />
<meta name="date" content="2023-05-02" />
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<li class="chapter" data-level="1" data-path="index.html"><a href="index.html"><i class="fa fa-check"></i><b>1</b> What is this?</a></li>
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<li class="chapter" data-level="2" data-path="intro.html"><a href="intro.html"><i class="fa fa-check"></i><b>2</b> Introduction</a>
<ul>
<li class="chapter" data-level="2.1" data-path="intro.html"><a href="intro.html#graph-representation-learning"><i class="fa fa-check"></i><b>2.1</b> Graph representation learning</a></li>
<li class="chapter" data-level="2.2" data-path="intro.html"><a href="intro.html#cell-profiling"><i class="fa fa-check"></i><b>2.2</b> Cell profiling</a></li>
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<i class="fa fa-circle-o-notch fa-spin"></i><a href="./">Network analysis approach using morphological profiling of chemical perturbation</a>
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<h1>Aim<a href="aim.html#aim" class="anchor-section" aria-label="Anchor link to header"></a></h1>
<p>An innovative and powerful method of analyzing complex biomedical data can be found in the intersection of graph representation learning and cell profiling. The goal of our research is to unlock new insights into how chemical compounds, cellular phenotypes, and biological entities like proteins and biological pathways interact, ultimately facilitating the discovery and development of new drugs.</p>
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