Package: HGC
Type: Package
Title: A fast hierarchical graph-based clustering method
Version: 1.19.0
Authors@R: c(person("Zou", "Ziheng",
                email = "zouzh14@gmail.com",
                role=c("aut")),
             person("Hua", "Kui",
                role=c("aut")),
             person("XGlab",
                email = "xglab@mail.tsinghua.edu.cn",
                role=c("cre", "cph")))
Description: HGC (short for Hierarchical Graph-based Clustering) is an
        R package for conducting hierarchical clustering on large-scale
        single-cell RNA-seq (scRNA-seq) data. The key idea is to
        construct a dendrogram of cells on their shared nearest
        neighbor (SNN) graph. HGC provides functions for building
        graphs and for conducting hierarchical clustering on the graph.
        The users with old R version could visit
        https://github.com/XuegongLab/HGC/tree/HGC4oldRVersion to get
        HGC package built for R 3.6.
License: GPL-3
Encoding: UTF-8
SystemRequirements: C++11
Depends: R (>= 4.1.0)
Imports: Rcpp (>= 1.0.0), RcppEigen(>= 0.3.2.0), Matrix, RANN, ape,
        dendextend, ggplot2, mclust, patchwork, dplyr, grDevices,
        methods, stats
LinkingTo: Rcpp, RcppEigen
Suggests: BiocStyle, rmarkdown, knitr, testthat (>= 3.0.0)
VignetteBuilder: knitr
biocViews: SingleCell, Software, Clustering, RNASeq, GraphAndNetwork,
        DNASeq
Config/testthat/edition: 3
NeedsCompilation: yes
Packaged: 2026-01-22 18:40:55 UTC; root
Repository: https://bioc.r-universe.dev
Date/Publication: 2025-10-29 15:09:18 UTC
RemoteUrl: https://github.com/bioc/HGC
RemoteRef: HEAD
RemoteSha: 8ba086bd0db0c0ab27dab828311dea1708e1b41f
Author: Zou Ziheng [aut],
  Hua Kui [aut],
  XGlab [cre, cph]
Maintainer: XGlab <xglab@mail.tsinghua.edu.cn>
Built: R 4.6.0; aarch64-apple-darwin23; 2026-01-22 18:49:29 UTC; unix
