<?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>alserglab.r-universe.dev</title><link>https://alserglab.r-universe.dev</link><description>Recent package updates in alserglab</description><generator>R-universe</generator><image><url>https://github.com/alserglab.png</url><title>R packages by alserglab</title><link>https://alserglab.r-universe.dev</link></image><lastBuildDate>Fri, 26 Jun 2026 22:24:35 GMT</lastBuildDate><item><title>[bioc] fgsea 1.39.2</title><author>alsergbox@gmail.com (Alexey Sergushichev)</author><description>The package implements an algorithm for fast gene set
enrichment analysis. Using the fast algorithm allows to make
more permutations and get more fine grained p-values, which
allows to use accurate stantard approaches to multiple
hypothesis correction.</description><link>https://github.com/r-universe/bioc/actions/runs/28281300010</link><pubDate>Fri, 26 Jun 2026 22:24:35 GMT</pubDate><r:package>fgsea</r:package><r:version>1.39.2</r:version><r:status>success</r:status><r:repository>https://bioc.r-universe.dev</r:repository><r:upstream>https://github.com/bioc/fgsea</r:upstream><r:article><r:source>geseca-tutorial.Rmd</r:source><r:filename>geseca-tutorial.html</r:filename><r:title>Gene set co-regulation analysis tutorial</r:title><r:created>2025-11-04 23:43:30</r:created><r:modified>2026-06-26 16:44:14</r:modified></r:article><r:article><r:source>fgsea-tutorial.Rmd</r:source><r:filename>fgsea-tutorial.html</r:filename><r:title>Using fgsea package</r:title><r:created>2016-06-03 11:01:33</r:created><r:modified>2025-11-04 23:43:30</r:modified></r:article></item><item><title>[bioc] phantasusLite 1.11.4</title><author>alsergbox@gmail.com (Alexey Sergushichev)</author><description>PhantasusLite – a lightweight package with helper
functions of general interest extracted from phantasus package.
In parituclar it simplifies working with public RNA-seq
datasets from GEO by providing access to the remote HSDS
repository with the precomputed gene counts from ARCHS4 and
DEE2 projects.</description><link>https://github.com/r-universe/bioc/actions/runs/28080461892</link><pubDate>Tue, 23 Jun 2026 22:31:56 GMT</pubDate><r:package>phantasusLite</r:package><r:version>1.11.4</r:version><r:status>success</r:status><r:repository>https://bioc.r-universe.dev</r:repository><r:upstream>https://github.com/bioc/phantasusLite</r:upstream><r:article><r:source>phantasusLite-tutorial.Rmd</r:source><r:filename>phantasusLite-tutorial.html</r:filename><r:title>phantasusLite tutorial</r:title><r:created>2023-09-11 22:00:33</r:created><r:modified>2026-06-18 22:54:06</r:modified></r:article></item><item><title>[alserglab] mascarade 0.3.4.9000</title><author>alsergbox@gmail.com (Alexey Sergushichev)</author><description>Implements a procedure to automatically generate 2D masks
for clusters on dimensional reduction plots from methods like
t-SNE (t-distributed stochastic neighbor embedding) or UMAP
(uniform manifold approximation and projection), with a focus
on single-cell RNA-sequencing data.</description><link>https://github.com/r-universe/alserglab/actions/runs/27946339826</link><pubDate>Thu, 23 Apr 2026 15:27:55 GMT</pubDate><r:package>mascarade</r:package><r:version>0.3.4.9000</r:version><r:status>success</r:status><r:repository>https://alserglab.r-universe.dev</r:repository><r:upstream>https://github.com/alserglab/mascarade</r:upstream><r:article><r:source>mascarade-gallery.Rmd</r:source><r:filename>mascarade-gallery.html</r:filename><r:title>Gallery of mascarade-generaded masks</r:title><r:created>2025-04-20 22:14:12</r:created><r:modified>2026-01-04 03:24:15</r:modified></r:article><r:article><r:source>mascarade-tutorial.Rmd</r:source><r:filename>mascarade-tutorial.html</r:filename><r:title>Using mascarade package</r:title><r:created>2024-12-23 19:47:43</r:created><r:modified>2026-02-13 22:04:12</r:modified></r:article></item></channel></rss>