<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Bioinformatics on English AI Terms Dictionary</title><link>https://terms-en.ai-term-hub.com/en/tags/bioinformatics/</link><description>Recent content in Bioinformatics on English AI Terms Dictionary</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Sat, 18 Jul 2026 11:44:44 +0000</lastBuildDate><atom:link href="https://terms-en.ai-term-hub.com/en/tags/bioinformatics/index.xml" rel="self" type="application/rss+xml"/><item><title>Machine learning in bioinformatics</title><link>https://terms-en.ai-term-hub.com/en/terms/machine_learning_in_bioinformatics/</link><pubDate>Sat, 18 Jul 2026 10:06:11 +0000</pubDate><guid>https://terms-en.ai-term-hub.com/en/terms/machine_learning_in_bioinformatics/</guid><description>&lt;h2 id="definition">Definition&lt;/h2>
&lt;p>This interdisciplinary field uses machine learning to process vast amounts of biological data, enabling researchers to predict gene functions, classify diseases, and understand molecular interactions. Algorithms are trained on datasets like DNA sequences or protein structures to identify patterns indicative of health or disease states. It accelerates drug discovery and personalized medicine by providing predictive capabilities that traditional statistical methods cannot achieve efficiently.&lt;/p>
&lt;h3 id="summary">Summary&lt;/h3>
&lt;p>The application of computational models to analyze biological data, such as genomic sequences and protein structures, to discover biological insights.&lt;/p></description></item></channel></rss>