https://jinming-cheng.r-universe.devRecent package updates in jinming-chengR-universehttps://github.com/jinming-cheng.pnghttps://jinming-cheng.r-universe.devMon, 31 Aug 2026 10:54:23 GMTjinming.cheng@outlook.com (Jinming Cheng)SpNeigh provides methods for neighborhood-aware analysis of spatial transcriptomics data. It supports boundary detection, spatial weighting (centroid- and boundary-based), spatially informed differential expression using spline-based models, and spatial enrichment analysis via the Spatial Enrichment Index (SEI). Designed for compatibility with Seurat objects, SpatialExperiment objects and spatial data frames, SpNeigh enables interpretable, publication-ready analysis of spatial gene expression patterns.https://github.com/r-universe/bioc/actions/runs/36715657141Mon, 31 Aug 2026 10:54:23 GMTSpNeigh1.1.2successhttps://bioc.r-universe.devhttps://github.com/bioc/SpNeighSpNeigh.RmdSpNeigh.htmlGetting Started with SpNeigh2025-06-01 07:19:452026-08-31 10:54:23jinming.cheng@outlook.com (Jinming Cheng)RankMap is a fast and scalable tool for reference-based cell type annotation of single-cell and spatial transcriptomics data. It uses ranked gene expression and multinomial regression to achieve robust predictions, even with partial gene coverage. Compatible with Seurat, SingleCellExperiment, and SpatialExperiment objects, RankMap offers flexible preprocessing and significantly faster runtime than tools like SingleR, Azimuth, and RCTD.https://github.com/r-universe/bioc/actions/runs/36236916431Mon, 27 Jul 2026 04:56:02 GMTRankMap1.1.2successhttps://bioc.r-universe.devhttps://github.com/bioc/RankMapRankMap.RmdRankMap.htmlGetting Started with RankMap2026-01-15 05:35:172026-07-27 04:56:02