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udpated workshop for ICTS
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suragnair committed Jul 18, 2023
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<!DOCTYPE html>
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<head>
<meta charset="UTF-8">
<title>DragoNN</title>
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<body>
<section class="page-header">
<h1 class="project-name">DragoNN</h1>
<h2 class="project-tagline">DragoNN provides a toolkit to learn how to model and interpret regulatory sequence data using deep learning.</h2>
<!--<a href="/dragonn/documentation.html" class="btn">Documentation</a>-->
<!--<a href="/dragonn/paper_supplement.html" class="btn">Paper Supplement</a>-->
</section>



<section class="main-content">

<h1 id="workshops">Tutorials</h1>

<ul>
<li>
<p>Tutorial 1: <a href="https://colab.research.google.com/github/kundajelab/dragonn/blob/icts/tutorials/CSHL_2022/1_Training.ipynb">[Training convolutional neural networks on simulated genomic data]</a></p>
</li>
<li>
<p>Tutorial 2: <a href="https://colab.research.google.com/github/kundajelab/dragonn/blob/icts/tutorials/CSHL_2022/2-interpretation.ipynb">[Interpreting CNN models on genomic data]</a></p>
</li>
<li>
<p>Tutorial 3: <a href="http://colab.research.google.com/github/kundajelab/dragonn/blob/icts/tutorials/CSHL_2022/3_SPI1.ipynb">[Model for ChIP-seq data and scoring bQTLs]</a></p>
</li>
</ul>
</section>


<section class="main-content">

<h1 id="resources">Resources</h1>

<ul>
<li>
<p> <a href="https://colab.research.google.com/notebooks/basic_features_overview.ipynb"> Overview of google colab </a></p>
</li>
<li>
<p> <a href="https://richardson.byu.edu/624/lpython/PythonforRusers.pdf"> Python for R users </a></p>
</li>
</ul>


<footer class="site-footer">
<span class="site-footer-owner"><a href="">DragoNN</a> is maintained by <a href="https://www.linkedin.com/in/jisraeli/">Johnny Israeli</a> in the <a href="https://github.com/kundajelab">Kundaje Lab</a>.</span>
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