Package: sccomp
Title: Robust Outlier-aware Estimation of Composition and Heterogeneity
        for Single-cell Data
Version: 1.10.0
Authors@R: c(person("Stefano", "Mangiola", email = "mangiolastefano@gmail.com",
                  role = c("aut", "cre"))
                  )
Description: A robust and outlier-aware method for testing differential tissue composition from single-cell data. This model can infer changes in tissue composition and heterogeneity, and can produce realistic data simulations based on any existing dataset. This model can also transfer knowledge from a large set of integrated datasets to increase accuracy further.
License: GPL-3
URL: https://github.com/MangiolaLaboratory/sccomp
BugReports: https://github.com/MangiolaLaboratory/sccomp/issues
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.2
Depends: R (>= 4.2.0)
Imports: instantiate (>= 0.2.3), callr, fs, stats, SeuratObject,
        SingleCellExperiment, parallel, dplyr, tidyr, purrr, magrittr,
        rlang, tibble, boot, lifecycle, stats, tidyselect, utils,
        ggplot2, ggrepel, patchwork, forcats, readr, scales, stringr,
        glue, withr, digest
Suggests: knitr, rmarkdown, BiocStyle, testthat (>= 3.0.0), markdown,
        knitr, loo, prettydoc, tidyseurat, tidySingleCellExperiment,
        bayesplot, posterior
Additional_repositories: https://mc-stan.org/r-packages/
SystemRequirements: CmdStan
        (https://mc-stan.org/users/interfaces/cmdstan)
biocViews: Bayesian, Regression, DifferentialExpression, SingleCell
LazyData: true
VignetteBuilder: knitr
git_url: https://git.bioconductor.org/packages/sccomp
git_branch: RELEASE_3_20
git_last_commit: 9d3562d
git_last_commit_date: 2024-10-29
Repository: Bioconductor 3.20
Date/Publication: 2024-10-29
NeedsCompilation: no
Packaged: 2024-10-30 05:24:27 UTC; biocbuild
Author: Stefano Mangiola [aut, cre]
Maintainer: Stefano Mangiola <mangiolastefano@gmail.com>
Built: R 4.4.1; ; 2024-10-30 16:42:44 UTC; windows
