This is the released version of HGC; for the devel version, see HGC.
A fast hierarchical graph-based clustering methodBioconductor version: Release (3.21)
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.
Author: Zou Ziheng [aut], Hua Kui [aut], XGlab [cre, cph]
Maintainer: XGlab <xglab at mail.tsinghua.edu.cn>
Citation (from within R, entercitation("HGC")): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("HGC")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("HGC")Follow Installation instructions to use this package in your R session.
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