<?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>nshen7.r-universe.dev</title><link>https://nshen7.r-universe.dev</link><description>Recent package updates in nshen7</description><generator>R-universe</generator><image><url>https://github.com/nshen7.png</url><title>R packages by nshen7</title><link>https://nshen7.r-universe.dev</link></image><lastBuildDate>Wed, 23 Sep 2026 03:54:10 GMT</lastBuildDate><item><title>[bioc] decemedip 1.1.3</title><author>kkorthauer@cmmt.ubc.ca (Keegan Korthauer)</author><description>The R package decemedip is a novel computational paradigm
developed for inferring the relative abundances of cell types
and tissues measure by methylated DNA immunoprecipitation
sequencing (MeDIP-Seq). This paradigm allows using reference
data from other technologies such as microarray or WGBS.</description><link>https://github.com/r-universe/bioc/actions/runs/40069512392</link><pubDate>Wed, 23 Sep 2026 03:54:10 GMT</pubDate><r:package>decemedip</r:package><r:version>1.1.3</r:version><r:status>success</r:status><r:repository>https://bioc.r-universe.dev</r:repository><r:upstream>https://github.com/bioc/decemedip</r:upstream><r:article><r:source>how-to-use-decemedip.Rmd</r:source><r:filename>how-to-use-decemedip.html</r:filename><r:title>Cell type deconvolutiond of (cf)MeDIP-seq data with decemedip</r:title><r:created>2025-01-31 20:13:03</r:created><r:modified>2025-10-06 18:11:47</r:modified></r:article></item><item><title>[bioc] vmrseq 1.5.1</title><author>kkorthauer@cmmt.ubc.ca (Keegan Korthauer)</author><description>High-throughput single-cell measurements of DNA
methylation allows studying inter-cellular epigenetic
heterogeneity, but this task faces the challenges of sparsity
and noise. We present vmrseq, a statistical method that
overcomes these challenges and identifies variably methylated
regions accurately and robustly.</description><link>https://github.com/r-universe/bioc/actions/runs/37452800903</link><pubDate>Thu, 06 Aug 2026 19:18:23 GMT</pubDate><r:package>vmrseq</r:package><r:version>1.5.1</r:version><r:status>success</r:status><r:repository>https://bioc.r-universe.dev</r:repository><r:upstream>https://github.com/bioc/vmrseq</r:upstream><r:article><r:source>vmrseq-vignette.Rmd</r:source><r:filename>vmrseq-vignette.html</r:filename><r:title>Analyzing single-cell bisulfite sequencing data with vmrseq</r:title><r:created>2023-05-24 00:35:47</r:created><r:modified>2025-04-30 15:57:54</r:modified></r:article></item></channel></rss>