<?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>taostat1.r-universe.dev</title><link>https://taostat1.r-universe.dev</link><description>Recent package updates in taostat1</description><generator>R-universe</generator><image><url>https://github.com/taostat1.png</url><title>R packages by taostat1</title><link>https://taostat1.r-universe.dev</link></image><lastBuildDate>Sun, 18 Oct 2026 10:06:58 GMT</lastBuildDate><item><title>[taostat1] scNPM 1.1.0</title><author>25210690190@m.fudan.edu.cn (Tao Liu)</author><description>Estimates and compares heterogeneous gene
conditional-dependence networks from single-cell expression
data. A latent Gaussian mixture and probit observation
mechanism represent cellular heterogeneity and zero
observations. Protein interaction information supplies
edge-specific prior weights, while network propensity matching
links cell clusters across conditions and guides adaptation.
Staged inference fixes correspondence after adaptation,
disables adaptation feedback, and jointly models matched
network edges with a four-state spike-and-slab prior for
posterior group and directional differential edge selection.
Functions assess balance, record criterion diagnostics, and
visualize within-condition and differential networks.</description><link>https://github.com/r-universe/taostat1/actions/runs/39123623807</link><pubDate>Sun, 18 Oct 2026 10:06:58 GMT</pubDate><r:package>scNPM</r:package><r:version>1.1.0</r:version><r:status>success</r:status><r:repository>https://taostat1.r-universe.dev</r:repository><r:upstream>https://github.com/taostat1/scnpm_r_package</r:upstream></item></channel></rss>