Package: MAGICR
Type: Package
Title: Markov Affinity-Based Graph Imputation of Cells
Version: 1.0.0
Date: 2026-01-26
Authors@R: c(
    person("Zaoqu", "Liu", email = "liuzaoqu@163.com", role = c("aut", "cre"),
           comment = c(ORCID = "0000-0002-0452-742X")),
    person("Krishnaswamy Lab", role = "cph",
           comment = "Original MAGIC algorithm"))
Author: Zaoqu Liu [aut, cre] (<https://orcid.org/0000-0002-0452-742X>),
        Krishnaswamy Lab [cph] (Original MAGIC algorithm)
Maintainer: Zaoqu Liu <liuzaoqu@163.com>
Description: Native R implementation of MAGIC (Markov Affinity-based
        Graph Imputation of Cells) for denoising and imputation of
        single-cell RNA sequencing data. MAGIC uses diffusion geometry
        to denoise single-cell data and fill in missing transcripts, as
        described in van Dijk et al. (2018)
        <doi:10.1016/j.cell.2018.05.061>. This package provides a pure
        R implementation with optional C++ acceleration, parallel
        computing support, and seamless integration with Seurat (v4 and
        v5) objects.
License: GPL-2
URL: https://zaoqu-liu.github.io/MAGICR,
        https://github.com/Zaoqu-Liu/MAGICR
BugReports: https://github.com/Zaoqu-Liu/MAGICR/issues
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.6.0)
Imports: Matrix (>= 1.3-0), irlba (>= 2.3.0), RANN (>= 2.6.0), Rcpp,
        rlang, methods, stats, utils, future, grDevices, graphics
Suggests: Seurat (>= 4.0.0), SeuratObject, SingleCellExperiment,
        SummarizedExperiment, S4Vectors, ggplot2, gifski, gridExtra,
        testthat (>= 3.0.0), knitr, rmarkdown
LinkingTo: Rcpp, RcppArmadillo
RoxygenNote: 7.3.3
VignetteBuilder: knitr
Config/testthat/edition: 3
NeedsCompilation: yes
Biarch: true
Repository: https://zaoqu-liu.r-universe.dev
Date/Publication: 2026-01-25 17:58:56 UTC
RemoteUrl: https://github.com/Zaoqu-Liu/MAGICR
RemoteRef: main
RemoteSha: c6c90d3e0cb77027aa07901d4eb6355ca898bb83
Packaged: 2026-07-03 16:51:59 UTC; root