<?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>parasitetwin.r-universe.dev</title><link>https://parasitetwin.r-universe.dev</link><description>Recent package updates in parasitetwin</description><generator>R-universe</generator><image><url>https://github.com/parasitetwin.png</url><title>R packages by parasitetwin</title><link>https://parasitetwin.r-universe.dev</link></image><lastBuildDate>Tue, 28 Apr 2026 13:05:12 GMT</lastBuildDate><item><title>[bioc] batchCorr 1.3.0</title><author>parasitetwin@gmail.com (Anton Ribbenstedt)</author><description>From the perspective of metabolites as the continuation of
the central dogma of biology, metabolomics provides the closest
link to many phenotypes of interest. This makes metabolomics
research promising in teasing apart the complexities of living
systems. However, due to experimental reasons, the data
includes non-biological variation which limits quality and
reproducibility, especially if the data is obtained from
several batches. The batchCorr package reduces unwanted
variation by way of between-batch alignment, within-batch drift
correction and between-batch normalization using batch-specific
quality control samples and long-term reference QC samples.
Please see the associated article for more thorough
descriptions of algorithms.</description><link>https://github.com/r-universe/bioc/actions/runs/38376415443</link><pubDate>Tue, 28 Apr 2026 13:05:12 GMT</pubDate><r:package>batchCorr</r:package><r:version>1.3.0</r:version><r:status>success</r:status><r:repository>https://bioc.r-universe.dev</r:repository><r:upstream>https://github.com/bioc/batchCorr</r:upstream><r:article><r:source>Introduction.rmd</r:source><r:filename>Introduction.html</r:filename><r:title>General introduction</r:title><r:created>2024-06-04 11:48:40</r:created><r:modified>2025-06-14 14:25:14</r:modified></r:article></item></channel></rss>