Package: sccomp
Title: Robust Outlier-aware Estimation of Composition and Heterogeneity
        for Single-cell Data
Version: 1.0.0
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
Encoding: UTF-8
LazyData: true
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.1.2
Biarch: true
Depends: R (>= 4.1.0)
Imports: methods, Rcpp (>= 0.12.0), RcppParallel (>= 5.0.1), rstantools
        (>= 2.1.1), rstan (>= 2.18.1), SeuratObject,
        SingleCellExperiment, parallel, dplyr, tidyr, purrr, magrittr,
        rlang, tibble, boot, lifecycle, stats, tidyselect, utils,
        ggplot2, ggrepel, patchwork, forcats, readr, scales, stringr
Suggests: BiocStyle, testthat (>= 3.0.0), markdown, ggplot2, knitr,
        tidyseurat, tidySingleCellExperiment
Enhances: furrr, extraDistr
LinkingTo: BH (>= 1.66.0), Rcpp (>= 0.12.0), RcppEigen (>= 0.3.3.3.0),
        RcppParallel (>= 5.0.1), rstan (>= 2.18.1), StanHeaders (>=
        2.18.0)
SystemRequirements: GNU make
VignetteBuilder: knitr
RdMacros: lifecycle
biocViews: ImmunoOncology, Normalization, Sequencing, RNASeq, Software,
        GeneExpression, Transcriptomics, SingleCell, Clustering
LazyDataCompression: xz
Config/testthat/edition: 3
URL: https://github.com/stemangiola/sccomp
BugReports: https://github.com/stemangiola/sccomp/issues
git_url: https://git.bioconductor.org/packages/sccomp
git_branch: RELEASE_3_15
git_last_commit: dcc1b26
git_last_commit_date: 2022-04-26
Date/Publication: 2022-04-26
NeedsCompilation: yes
Packaged: 2022-04-27 01:13:58 UTC; biocbuild
Author: Stefano Mangiola [aut, cre]
Maintainer: Stefano Mangiola <mangiolastefano@gmail.com>
Built: R 4.2.0; x86_64-w64-mingw32; 2022-04-27 10:04:25 UTC; windows
ExperimentalWindowsRuntime: ucrt
Archs: x64
