<?xml version="1.0" encoding="utf-8" ?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:r="https://r-universe.dev"><channel><title>bioinfomics.r-universe.dev</title><link>https://bioinfomics.r-universe.dev</link><description>Recent package updates in bioinfomics</description><generator>R-universe</generator><image><url>https://github.com/bioinfomics.png</url><title>R packages by bioinfomics</title><link>https://bioinfomics.r-universe.dev</link></image><lastBuildDate>Tue, 08 Sep 2026 08:36:05 GMT</lastBuildDate><item><title>[bioc] LipidTrend 1.3.1</title><author>chenglabomics@gmail.com (Wei-Chung Cheng)</author><description>&quot;LipidTrend&quot; is an R package that implements a
permutation-based statistical test to identify significant
differences in lipidomic features between groups. The test
incorporates Gaussian kernel smoothing of region statistics to
improve stability and accuracy, particularly when dealing with
small sample sizes. This package also includes two plotting
functions for visualizing significant tendencies in 1D and 2D
feature data, respectively.</description><link>https://github.com/r-universe/bioc/actions/runs/37766931456</link><pubDate>Tue, 08 Sep 2026 08:36:05 GMT</pubDate><r:package>LipidTrend</r:package><r:version>1.3.1</r:version><r:status>success</r:status><r:repository>https://bioc.r-universe.dev</r:repository><r:upstream>https://github.com/bioc/LipidTrend</r:upstream><r:article><r:source>LipidTrend.Rmd</r:source><r:filename>LipidTrend.html</r:filename><r:title>Analyzing Lipid Feature Tendencies with LipidTrend</r:title><r:created>2025-02-25 08:49:33</r:created><r:modified>2026-09-08 08:35:05</r:modified></r:article></item></channel></rss>