https://zhefrench.r-universe.devRecent package updates in zhefrenchR-universehttps://github.com/zhefrench.pnghttps://zhefrench.r-universe.devTue, 28 Apr 2026 13:06:28 GMTjpvillemin@gmail.com (Jean-Philippe Villemin)Battlefield is a Swiss-army toolkit originally developed to define and extract spatial spots from specific tissue regions—such as front regions, niche borders, invasive margins, and cluster interfaces—using spatial transcriptomics data or clustered tissue maps. It has since been extended to support trajectory selection and layer inspection, and now provides a collection of low-level utilities for spatial transcriptomics analysis. These utilities are primarily intended to be reused within higher-level analytical packages. It is designed to work with sequencing-based platforms such as Visium at several resolutions and Visium HD(binned).https://github.com/r-universe/bioc/actions/runs/38064703366Tue, 28 Apr 2026 13:06:28 GMTBattlefield1.1.0successhttps://bioc.r-universe.devhttps://github.com/bioc/BattlefieldBattlefield-Main.RmdBattlefield-Main.htmlBattlefield2026-01-02 16:24:482026-02-27 11:29:35jpvillemin@gmail.com (Jean-Philippe Villemin)Inference of ligand-receptor (LR) interactions from bulk expression (transcriptomics/proteomics) data, or spatial transcriptomics. BulkSignalR bases its inferences on the LRdb database included in our other package, SingleCellSignalR available from Bioconductor. It relies on a statistical model that is specific to bulk data sets. Different visualization and data summary functions are proposed to help navigating prediction results.https://github.com/r-universe/bioc/actions/runs/39118669878Tue, 28 Apr 2026 13:04:07 GMTBulkSignalR1.5.0successhttps://bioc.r-universe.devhttps://github.com/bioc/BulkSignalRBulkSignalR-Configure.RmdBulkSignalR-Configure.htmlBulkSignalR : Inference of ligand-receptor interactions from bulk data or spatial transcriptomics2025-09-26 18:24:502025-09-26 18:24:50BulkSignalR-Differential.RmdBulkSignalR-Differential.htmlBulkSignalR : Inference of ligand-receptor interactions from bulk data or spatial transcriptomics2023-08-14 13:08:412025-07-29 14:49:29BulkSignalR-Main.RmdBulkSignalR-Main.htmlBulkSignalR : Inference of ligand-receptor interactions from bulk data or spatial transcriptomics2023-08-14 13:08:412025-09-26 18:24:50jpvillemin@gmail.com (Jean-Philippe Villemin)Inference of ligand-receptor (L-R) interactions from single-cell expression (transcriptomics/proteomics) data. SingleCellSignalR v2 inferences rely on the statistical model we introduced in the BulkSignalR package as well as the original SingleCellSignalR LR-score (both are available). SingleCellSignalR v2 can be regarded as a wrapper to BulkSignalR fundamental classes. This also enables v2 users to work with any species, whereas only Mus musculus & Homo sapiens were available before in SingleCellSignalR v1.https://github.com/r-universe/bioc/actions/runs/37622889862Tue, 28 Apr 2026 12:52:41 GMTSingleCellSignalR2.3.0successhttps://bioc.r-universe.devhttps://github.com/bioc/SingleCellSignalRSingleCellSignalR-Main.RmdSingleCellSignalR-Main.htmlSingleCellSignalR : Inference of ligand-receptor interactions from single-cell data2025-09-28 20:50:172026-04-16 16:29:39