<?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>gnotic.r-universe.dev</title><link>https://gnotic.r-universe.dev</link><description>Recent package updates in gnotic</description><generator>R-universe</generator><image><url>https://github.com/gnotic.png</url><title>R packages by gnotic</title><link>https://gnotic.r-universe.dev</link></image><lastBuildDate>Wed, 09 Sep 2026 08:40:03 GMT</lastBuildDate><item><title>[gnotic] scStability 1.0.4</title><author>benabrahams52@gmail.com (Ben Abrahams)</author><description>Provides functions for evaluating the stability of
low-dimensional embeddings and cluster assignments in
single‑cell RNA sequencing (scRNA‑seq) datasets. Starting from
a principal component analysis (PCA) object, users can generate
multiple replicates of t‑Distributed Stochastic Neighbor
Embedding (t‑SNE) or Uniform Manifold Approximation and
Projection (UMAP) embeddings. Embedding stability is quantified
by computing pairwise Kendall’s Tau correlations across
replicates and summarizing the distribution of correlation
coefficients. In addition to dimensionality reduction,
'scStability' assesses clustering consistency using either
Louvain or Leiden algorithms and calculating the Normalized
Mutual Information (NMI) between all pairs of cluster
assignments. For background on UMAP and t-SNE algorithms, see
McInnes et al. (2020, &lt;doi:10.21105/joss.00861&gt;) and van der
Maaten &amp; Hinton (2008, &lt;https://github.com/lvdmaaten/bhtsne&gt;),
respectively.</description><link>https://github.com/r-universe/gnotic/actions/runs/38152820430</link><pubDate>Wed, 09 Sep 2026 08:40:03 GMT</pubDate><r:package>scStability</r:package><r:version>1.0.4</r:version><r:status>success</r:status><r:repository>https://gnotic.r-universe.dev</r:repository><r:upstream>https://github.com/cran/scStability</r:upstream><r:article><r:source>Introduction-to-scStability.Rmd</r:source><r:filename>Introduction-to-scStability.html</r:filename><r:title>Introduction-to-scStability</r:title><r:created>2025-06-17 06:50:06</r:created><r:modified>2026-09-09 08:40:03</r:modified></r:article></item></channel></rss>