HGC
A fast hierarchical graph-based clustering method
Bioconductor version: 3.23 · Package version: 1.20.0
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.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("HGC") Details
| Maintainer | XGlab <xglab@mail.tsinghua.edu.cn> |
| Author | Zou Ziheng [aut], Hua Kui [aut], XGlab [cre, cph] |
| License | GPL-3 |
| System Requirements | C++11 |
| Downloads rank | 217 |
| Source branch | RELEASE_3_23 |
| biocViews | Clustering, DNASeq, GraphAndNetwork, RNASeq, SingleCell, Software |
Documentation
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Dependencies
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
Suggests: BiocStyle, rmarkdown, knitr, testthat (>= 3.0.0)