<?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>hongxiang2023.r-universe.dev</title><link>https://hongxiang2023.r-universe.dev</link><description>Recent package updates in hongxiang2023</description><generator>R-universe</generator><image><url>https://github.com/hongxiang2023.png</url><title>R packages by hongxiang2023</title><link>https://hongxiang2023.r-universe.dev</link></image><lastBuildDate>Tue, 16 Jun 2026 11:38:26 GMT</lastBuildDate><item><title>[hongxiang2023] MethScope 1.0.3</title><author>fhx@seas.upenn.edu (Hongxiang Fu)</author><description>Methods for analyzing DNA methylation data via Most
Recurrent Methylation Patterns (MRMPs). Supports cell-type
annotation, spatial deconvolution, unsupervised clustering, and
cancer cell-of-origin inference. Includes C-backed summaries
for YAME “.cg/.cm” files (overlap counts, log2 odds ratios,
beta/depth aggregation), an XGBoost classifier, NNLS
deconvolution, and plotting utilities. Scales to large spatial
and single-cell methylomes and is robust to extreme sparsity.</description><link>https://github.com/r-universe/hongxiang2023/actions/runs/27616844937</link><pubDate>Tue, 16 Jun 2026 11:38:26 GMT</pubDate><r:package>MethScope</r:package><r:version>1.0.3</r:version><r:status>success</r:status><r:repository>https://hongxiang2023.r-universe.dev</r:repository><r:upstream>https://github.com/cran/MethScope</r:upstream><r:article><r:source>MethScope-MRMP.Rmd</r:source><r:filename>MethScope-MRMP.html</r:filename><r:title>MethScope-MRMP</r:title><r:created>2025-12-09 16:46:13</r:created><r:modified>2025-12-09 16:46:13</r:modified></r:article><r:article><r:source>MethScope-Tutorial.Rmd</r:source><r:filename>MethScope-Tutorial.html</r:filename><r:title>MethScope-Tutorial</r:title><r:created>2025-12-09 16:46:13</r:created><r:modified>2026-06-16 11:38:26</r:modified></r:article></item></channel></rss>