Package: CytoSPACER Type: Package Title: Mapping Single-Cell Transcriptomes to Spatial Transcriptomics Data Version: 1.0.0 Date: 2026-01-25 Authors@R: c( person("Zaoqu", "Liu", email = "liuzaoqu@163.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-5623-6869")), person("CytoSPACE Team", role = "ctb", comment = "Original Python implementation")) Description: CytoSPACER is an R implementation of CytoSPACE, a computational strategy for assigning single-cell transcriptomes to in situ spatial transcriptomics (ST) data. The method solves single cell/spot assignment by minimizing a correlation-based cost function through a linear programming-based optimization routine using the Jonker-Volgenant algorithm. This package provides high-performance implementations using Rcpp and supports parallel processing across all platforms. License: MIT + file LICENSE URL: https://zaoqu-liu.github.io/CytoSPACER/, https://github.com/Zaoqu-Liu/CytoSPACER BugReports: https://github.com/Zaoqu-Liu/CytoSPACER/issues Encoding: UTF-8 Roxygen: list(markdown = TRUE) RoxygenNote: 7.3.3 Depends: R (>= 4.0.0) Imports: Rcpp (>= 1.0.10), data.table (>= 1.14.0), Matrix (>= 1.5.0), future (>= 1.32.0), future.apply (>= 1.11.0), progressr (>= 0.14.0), ggplot2 (>= 3.4.0), methods, stats, utils Suggests: Seurat (>= 4.0.0), SeuratObject (>= 4.0.0), testthat (>= 3.0.0), knitr, rmarkdown, viridis LinkingTo: Rcpp, RcppArmadillo VignetteBuilder: knitr Config/testthat/edition: 3 Repository: https://zaoqu-liu.r-universe.dev Date/Publication: 2026-01-24 18:51:37 UTC RemoteUrl: https://github.com/Zaoqu-Liu/CytoSPACER RemoteRef: main RemoteSha: 885560a47a2170304bac1c921277a4633ee7a2e0 NeedsCompilation: yes Packaged: 2026-07-04 11:10:26 UTC; root Author: Zaoqu Liu [aut, cre] (ORCID: ), CytoSPACE Team [ctb] (Original Python implementation) Maintainer: Zaoqu Liu