<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Proteomics on Maragkakis Lab</title><link>http://maragkakislab.com/tags/proteomics/</link><description>Recent content in Proteomics on Maragkakis Lab</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Sat, 01 Jan 2011 00:00:00 +0000</lastBuildDate><atom:link href="http://maragkakislab.com/tags/proteomics/index.xml" rel="self" type="application/rss+xml"/><item><title>Accurate microRNA Target Prediction Using Detailed Binding Site Accessibility and Machine Learning on Proteomics Data</title><link>http://maragkakislab.com/publications/2011-mirna-binding-site-accessibility/</link><pubDate>Sat, 01 Jan 2011 00:00:00 +0000</pubDate><guid>http://maragkakislab.com/publications/2011-mirna-binding-site-accessibility/</guid><description>&lt;h2 id="summary"&gt;Summary&lt;/h2&gt;
&lt;p&gt;This study improves the accuracy of microRNA target prediction by modeling the accessibility of miRNA binding sites using detailed RNA secondary structure calculations and training machine learning models on proteomic measurements of miRNA-mediated repression.&lt;/p&gt;</description></item></channel></rss>