<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>network biology on Wonderland of Deisy Gysi</title><link>https://deisygysi.github.io/categories/network-biology/</link><description>Recent content in network biology on Wonderland of Deisy Gysi</description><generator>Hugo -- gohugo.io</generator><language>en</language><lastBuildDate>Wed, 14 Aug 2024 00:00:00 +0000</lastBuildDate><atom:link href="https://deisygysi.github.io/categories/network-biology/index.xml" rel="self" type="application/rss+xml"/><item><title>Current and Future Directions in Network Biology</title><link>https://deisygysi.github.io/publications/netbiodirections/</link><pubDate>Wed, 14 Aug 2024 00:00:00 +0000</pubDate><guid>https://deisygysi.github.io/publications/netbiodirections/</guid><description>Abstract Network biology is an interdisciplinary field bridging computational and biological sciences that has proved pivotal in advancing the understanding of cellular functions and diseases across biological systems and scales. Although the field has been around for two decades, it remains nascent, having witnessed rapid evolution accompanied by emerging challenges stemming from the growing complexity and volume of data and the increased diversity of data types describing different tiers of biological organization.</description></item></channel></rss>