<?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>drake69.r-universe.dev</title><link>https://drake69.r-universe.dev</link><description>Recent package updates in drake69</description><generator>R-universe</generator><image><url>https://github.com/drake69.png</url><title>R packages by drake69</title><link>https://drake69.r-universe.dev</link></image><lastBuildDate>Sun, 04 Oct 2026 05:32:40 GMT</lastBuildDate><item><title>[bioc] ctdR 0.99.11</title><author>lcorsaro69@gmail.com (Luigi Corsaro)</author><description>Identifies chemicals significantly associated with a set
of genes using data from the Comparative Toxicogenomics
Database (CTD, &lt;https://ctdbase.org&gt;). Supports four enrichment
methods through a unified interface: Over-Representation
Analysis (ORA) via a hypergeometric test on stats::phyper(),
Gene Set Enrichment Analysis (GSEA) via 'fgsea', the
competitive gene-set test CAMERA via 'limma', and per-sample
Gene Set Variation Analysis (GSVA) via 'GSVA'. Users download
the CTD chemical-gene interactions file once, import it with
import_CTD(), and then run enrichment_CTD() on either a gene
list (ORA, GSEA) or an expression matrix (CAMERA, GSVA). This
package does not bundle or redistribute CTD data. Users must
download the required data files directly from
&lt;https://ctdbase.org&gt; and comply with the CTD data licensing
terms (see &lt;https://ctdbase.org/about/legal.jsp&gt;).</description><link>https://github.com/r-universe/bioc/actions/runs/37276906773</link><pubDate>Sun, 04 Oct 2026 05:32:40 GMT</pubDate><r:package>ctdR</r:package><r:version>0.99.11</r:version><r:status>success</r:status><r:repository>https://bioc.r-universe.dev</r:repository><r:upstream>https://github.com/bioc/ctdR</r:upstream><r:article><r:source>ctdR.Rmd</r:source><r:filename>ctdR.html</r:filename><r:title>Introduction to ctdR</r:title><r:created>2026-03-30 16:16:03</r:created><r:modified>2026-10-03 20:33:16</r:modified></r:article></item></channel></rss>