DESCRIPTION

Package: scstruc
Version: 0.99.0
Title: Bayesian network analysis for single-cell transcriptomic data
Authors@R: person("Noriaki", "Sato", email = "nori@hgc.jp", role = c("cre", "aut"))
Description: The library infers the gene regulatory network based on Bayesian network structure from single-cell transcriptomic data.
License: MIT + file LICENSE
Encoding: UTF-8
Depends:
    R (>= 4.3.0), bnlearn,
    igraph, scran
Imports:
    Rcpp, MAST, methods, pcalg,
    data.table, ggraph, dplyr,
    glmnet, tidygraph, ggplot2,
    pillar, SingleCellExperiment,
    SummarizedExperiment, S4Vectors
Suggests:
    ncvreg,
    AnnotationDbi,
    Matrix,
    cowplot,
    ggfx,
    ggkegg,
    patchwork,
    tidyr,
    Boruta,
    testthat (>= 3.0.0),
    L0Learn,
    clusterProfiler,
    xgboost,
    knitr,
    SID,
    HurdleNormal,
    scuttle,
    SuperCell,
    BiocStyle,
    sparsebnUtils,
    ccdrAlgorithm,
    KEGGREST,
    SpatialExperiment
Remotes:
    noriakis/ccdrAlgorithm
    itsrainingdata/sparsebnUtils
    amcdavid/HurdleNormal
    GfellerLab/SuperCell
LinkingTo: Rcpp, RcppArmadillo
RoxygenNote: 7.3.2
VignetteBuilder: knitr
URL: https://github.com/noriakis/scstruc
BugReports: https://github.com/noriakis/scstruc/issues
Config/testthat/edition: 3