Package: proteoDeconv Title: Enabling Cell-Type Deconvolution of Proteomics Data Version: 0.1.2 Authors@R: person("Måns", "Zamore", email = "mans.zamore@immun.lth.se", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-8108-1097")) Description: Tools for deconvoluting proteomics data to identify and quantify cell types (e.g., immune cell types) in complex biological samples. License: MIT + file LICENSE URL: https://github.com/ComputationalProteomics/proteoDeconv, https://computationalproteomics.github.io/proteoDeconv/ BugReports: https://github.com/ComputationalProteomics/proteoDeconv/issues Depends: R (>= 4.1.0) Imports: dplyr, glue, HGNChelper, impute, Matrix, MsCoreUtils, readr, rlang, SimBu, stats, stringr, SummarizedExperiment, tibble, tidyr, tidyselect, utils, withr Suggests: testthat (>= 3.0.0), BayesDeBulk, EPIC, knitr, rmarkdown, limma, ggplot2 Remotes: WangLab-MSSM/BayesDeBulk/BayesDeBulk, GfellerLab/EPIC, omnideconv/SimBu Config/testthat/edition: 3 Encoding: UTF-8 SystemRequirements: Docker Roxygen: list(markdown = TRUE) RoxygenNote: 7.3.2 VignetteBuilder: knitr Config/pak/sysreqs: libglpk-dev make libicu-dev libpng-dev libxml2-dev python3 libx11-dev zlib1g-dev Repository: https://computationalproteomics.r-universe.dev Date/Publication: 2026-03-23 18:15:18 UTC RemoteUrl: https://github.com/ComputationalProteomics/proteoDeconv RemoteRef: HEAD RemoteSha: 2379af2771e2145db665bba39dd3d88c85b96aa8 NeedsCompilation: no Packaged: 2026-10-19 07:57:15 UTC; root Author: Måns Zamore [aut, cre] (ORCID: ) Maintainer: Måns Zamore