<?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>georginafp.r-universe.dev</title><link>https://georginafp.r-universe.dev</link><description>Recent package updates in georginafp</description><generator>R-universe</generator><image><url>https://github.com/georginafp.png</url><title>R packages by georginafp</title><link>https://georginafp.r-universe.dev</link></image><lastBuildDate>Tue, 28 Apr 2026 13:05:27 GMT</lastBuildDate><item><title>[bioc] SPICEY 1.3.0</title><author>georgina.fuentes@upf.edu (Georgina Fuentes-Páez)</author><description>SPICEY (SPecificity Index for Coding and Epigenetic
activitY) is an R package designed to quantify cell-type
specificity in single-cell transcriptomic and epigenomic data,
particularly scRNA-seq and scATAC-seq. It introduces two
complementary indices: the Gene Expression Tissue Specificity
Index (GETSI) and the Regulatory Element Tissue Specificity
Index (RETSI), both based on entropy to provide continuous,
interpretable measures of specificity. By integrating gene
expression and chromatin accessibility, SPICEY enables
standardized analysis of cell-type-specific regulatory programs
across diverse tissues and conditions.</description><link>https://github.com/r-universe/bioc/actions/runs/36857744963</link><pubDate>Tue, 28 Apr 2026 13:05:27 GMT</pubDate><r:package>SPICEY</r:package><r:version>1.3.0</r:version><r:status>success</r:status><r:repository>https://bioc.r-universe.dev</r:repository><r:upstream>https://github.com/bioc/SPICEY</r:upstream><r:article><r:source>SPICEY.Rmd</r:source><r:filename>SPICEY.html</r:filename><r:title>Measuring tissue specificity from single cell data with SPICEY</r:title><r:created>2025-06-03 12:47:54</r:created><r:modified>2025-10-08 14:54:37</r:modified></r:article></item></channel></rss>