Package: scapGNN
Type: Package
Title: Graph Neural Network-Based Framework for Single Cell Active
        Pathways and Gene Modules Analysis
Version: 0.1.4
Date: 2023-8-7
Authors@R: c(person("Xudong Han", role = c("aut", "cre","cph"), email = "hanxd1217@163.com"),
            person("Xujiang Guo", role = "fnd"))
Author: Xudong Han [aut, cre, cph], Xujiang Guo [fnd]
Maintainer: Xudong Han <hanxd1217@163.com>
Description: It is a single cell active pathway analysis tool based on
        the graph neural network (F. Scarselli (2009)
        <doi:10.1109/TNN.2008.2005605>; Thomas N. Kipf (2017)
        <arXiv:1609.02907v4>) to construct the gene-cell association
        network, infer pathway activity scores from different single
        cell modalities data, integrate multiple modality data on the
        same cells into one pathway activity score matrix, identify
        cell phenotype activated gene modules and parse association
        networks of gene modules under multiple cell phenotype. In
        addition, abundant visualization programs are provided to
        display the results.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1.0)
RoxygenNote: 7.2.3
Imports: ActivePathways, AdaptGauss, coop, igraph, mixtools,
        reticulate, methods
Suggests: rmarkdown, knitr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-10-08 09:29:11 UTC; root
Config/pak/sysreqs: cmake libglpk-dev make libicu-dev libpng-dev
        libuv1-dev libxml2-dev libssl-dev python3 zlib1g-dev
Repository: https://xudonghan-bio.r-universe.dev
Date/Publication: 2023-08-08 10:31:45 UTC
RemoteUrl: https://github.com/cran/scapGNN
RemoteRef: HEAD
RemoteSha: afde8b0524c8323d1fba680f867a21a49dcb53fd