Package: HGC Type: Package Title: A fast hierarchical graph-based clustering method Version: 1.21.0 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: 2026-07-17 05:13:01 UTC; root Repository: https://bioc.r-universe.dev Date/Publication: 2026-04-28 12:56:04 UTC RemoteUrl: https://github.com/bioc/HGC RemoteRef: HEAD RemoteSha: 3930fed132fc0e2e09663e140bb3a6afd022ea49 Author: Zou Ziheng [aut], Hua Kui [aut], XGlab [cre, cph] Maintainer: XGlab