Package: spatialDWLS Title: Cell Type Deconvolution of Spatial Transcriptomics with Dampened Weighted Least Squares Version: 0.1.1 Authors@R: c( person("Rui", "Dong", role = "aut", comment = "original spatialDWLS method and implementation"), person("Guo-Cheng", "Yuan", email = "guo-cheng.yuan@mssm.edu", role = "aut"), person("Ruben", "Dries", email = "rubendries@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0001-7650-7754")), person("Jiaji", "George Chen", email = "jiajic@bu.edu", role = "ctb", comment = "package and website") ) Description: Estimates the cell type composition of each spot of a spatial transcriptomics experiment from a single-cell reference, following spatialDWLS (Dong and Yuan 2021, ), which builds on dampened weighted least squares (DWLS; Tsoucas et al. 2019, ). Spots are solved in two rounds: candidate cell types are chosen per cluster by enrichment, then each spot is re-solved against the types present in it. Works on dense or sparse matrices, in parallel through 'BiocParallel', and over windows of spots for expression stores that do not fit in memory. License: MIT + file LICENSE Encoding: UTF-8 URL: https://drieslab.github.io/spatialDWLS/, https://github.com/drieslab/spatialDWLS BugReports: https://github.com/drieslab/spatialDWLS/issues Depends: R (>= 4.1.0) Imports: Matrix, MatrixGenerics, methods, quadprog, stats Suggests: BiocParallel, knitr, rmarkdown, testthat (>= 3.0.0) VignetteBuilder: knitr Config/testthat/edition: 3 Roxygen: list(markdown = TRUE) Config/roxygen2/version: 8.1.1 Repository: https://drieslab.r-universe.dev Date/Publication: 2026-10-16 14:36:46 UTC RemoteUrl: https://github.com/drieslab/spatialDWLS RemoteRef: HEAD RemoteSha: 45d201da6af14d23ffa718858a223c731563a2d5 NeedsCompilation: no Packaged: 2026-10-16 17:42:34 UTC; root Author: Rui Dong [aut] (original spatialDWLS method and implementation), Guo-Cheng Yuan [aut], Ruben Dries [aut, cre] (ORCID: ), Jiaji George Chen [ctb] (package and website) Maintainer: Ruben Dries