Package: spacexr Type: Package Title: SpatialeXpressionR: Cell Type Identification in Spatial Transcriptomics Version: 1.5.0 Authors@R: c( person("Dylan", "Cable", email = "dmcable@umich.edu", role = "aut"), person( "Rafael", "Irizarry", email="rafael_irizarry@dfci.harvard.edu", role="aut", comment=c(ORCID="0000-0002-3944-4309") ), person( "Gabriel", "Grajeda", email = "gabriel.grajeda@gmail.com", role = "cre", comment=c(ORCID="0009-0003-7242-7476") ), person("Fannie and John Hertz Foundation", role = "fnd") ) Description: 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. URL: https://github.com/ggrajeda/spacexr BugReports: https://github.com/ggrajeda/spacexr/issues Depends: R (>= 4.5.0) License: GPL (>= 3) Encoding: UTF-8 Imports: ggplot2, Matrix, parallel, quadprog, httr, methods, memoise, BiocParallel, BiocFileCache, SummarizedExperiment, scatterpie, SpatialExperiment RoxygenNote: 7.3.2 VignetteBuilder: knitr Suggests: BiocStyle, knitr, rmarkdown, testthat Config/testthat/edition: 3 biocViews: GeneExpression, DifferentialExpression, SingleCell, RNASeq, Software, Spatial, Transcriptomics Config/pak/sysreqs: cmake libfontconfig1-dev libfreetype6-dev make libmagick++-dev gsfonts libicu-dev libuv1-dev libssl-dev zlib1g-dev Repository: https://bioc.r-universe.dev Date/Publication: 2026-04-28 13:04:48 UTC RemoteUrl: https://github.com/bioc/spacexr RemoteRef: HEAD RemoteSha: b981b934b5bb557afd4f60a38deacf80acfcfa9d NeedsCompilation: no Packaged: 2026-07-14 05:09:35 UTC; root Author: Dylan Cable [aut], Rafael Irizarry [aut] (ORCID: ), Gabriel Grajeda [cre] (ORCID: ), Fannie and John Hertz Foundation [fnd] Maintainer: Gabriel Grajeda