Bioconductor version: Release (3.14)
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,
enter citation("HGC")
):
To install this package, start R (version "4.1") 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.
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("HGC")
HTML | R Script | HGC package manual |
Reference Manual | ||
Text | NEWS |
biocViews | Clustering, DNASeq, GraphAndNetwork, RNASeq, SingleCell, Software |
Version | 1.2.0 |
In Bioconductor since | BioC 3.13 (R-4.1) (1 year) |
License | GPL-3 |
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) |
SystemRequirements | C++11 |
Enhances | |
URL | |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | HGC_1.2.0.tar.gz |
Windows Binary | HGC_1.2.0.zip (32- & 64-bit) |
macOS 10.13 (High Sierra) | HGC_1.2.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/HGC |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/HGC |
Package Short Url | https://bioconductor.org/packages/HGC/ |
Package Downloads Report | Download Stats |
Old Source Packages for BioC 3.14 | Source Archive |
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