XuegongLab/HGC: A fast hierarchical graph-based clustering method

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.

Getting started

Package details

Bioconductor views Clustering DNASeq GraphAndNetwork RNASeq SingleCell Software
Maintainer
LicenseGPL-3
Version1.1.3
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("XuegongLab/HGC")
XuegongLab/HGC documentation built on Dec. 18, 2021, 7:23 p.m.