https://ggrajeda.r-universe.devRecent package updates in ggrajedaR-universehttps://github.com/ggrajeda.pnghttps://ggrajeda.r-universe.devTue, 28 Apr 2026 13:04:48 GMTgabriel.grajeda@gmail.com (Gabriel Grajeda)Spatial-eXpression-R (spacexr) is a package for analyzing cell types in spatial transcriptomics data. This implementation is a fork of the spacexr GitHub repo (https://github.com/dmcable/spacexr), adapted to work with Bioconductor objects. The original package implements two statistical methods: RCTD for learning cell types and CSIDE for inferring cell type-specific differential expression. Currently, this fork only implements RCTD, which learns cell type profiles from annotated RNA sequencing (RNA-seq) reference data and uses these profiles to identify cell types in spatial transcriptomic pixels while accounting for platform-specific effects. Future releases will include an implementation of CSIDE.https://github.com/r-universe/bioc/actions/runs/35595607068Tue, 28 Apr 2026 13:04:48 GMTspacexr1.5.0successhttps://bioc.r-universe.devhttps://github.com/bioc/spacexrrctd-tutorial.Rmdrctd-tutorial.htmlRCTD Tutorial2025-02-19 00:36:262025-03-28 08:01:28