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: 2026-09-19 07:32:48 UTC; root
Author: Måns Zamore [aut, cre] (ORCID: <https://orcid.org/0000-0002-8108-1097>)
Maintainer: Måns Zamore <mans.zamore@immun.lth.se>
Built: R 4.6.0; ; 2026-09-19 07:36:04 UTC; unix
