# ------------------------------------------------ # CITATION.cff file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # ------------------------------------------------ cff-version: 1.2.0 message: 'To cite package "spatialDWLS" in publications use:' type: software license: MIT title: 'spatialDWLS: Cell Type Deconvolution of Spatial Transcriptomics with Dampened Weighted Least Squares' version: 0.1.1 doi: 10.32614/CRAN.package.spatialDWLS abstract: '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.' authors: - family-names: Dong given-names: Rui - family-names: Yuan given-names: Guo-Cheng email: guo-cheng.yuan@mssm.edu - family-names: Dries given-names: Ruben email: rubendries@gmail.com orcid: https://orcid.org/0000-0001-7650-7754 repository: https://drieslab.r-universe.dev repository-code: https://github.com/drieslab/spatialDWLS commit: 45d201da6af14d23ffa718858a223c731563a2d5 url: https://drieslab.github.io/spatialDWLS/ date-released: '2026-10-16' contact: - family-names: Dries given-names: Ruben email: rubendries@gmail.com orcid: https://orcid.org/0000-0001-7650-7754