ClusterGVis
This is the released version of ClusterGVis; for the devel version, see ClusterGVis.
All Bioconductor versions of ClusterGVis
3.24 (devel), 3.23 (release)
One-Step to Cluster and Visualize Gene Expression Data
Bioconductor version: 3.23 · Package version: 1.0.0
Provides a streamlined workflow for clustering and visualizing gene expression patterns, particularly from time-series RNA-Seq and single-cell experiments. The package is designed to integrate seamlessly within the Bioconductor ecosystem by operating directly on standard data classes such as `SummarizedExperiment` and `SingleCellExperiment`. It implements common clustering algorithms (e.g., k-means, fuzzy c-means) and generates a suite of publication-ready visualizations to explore co-expressed gene modules. Functions are also included to facilitate the visualization of clustering results derived from other popular tools.
Author: Jun Zhang [aut, cre, cph] 
Maintainer: Jun Zhang <1138976957 at qq.com>
Citation
From within R, enter citation("ClusterGVis"):
Jun Zhang. ClusterGVis: One-Step to Cluster and Visualize Gene Expression Data. doi:10.18129/B9.bioc.ClusterGVis, R package version 1.0.0, https://bioconductor.org/packages/ClusterGVis.
Generated from the package metadata; it may differ from the package's own citation.
Installation
To install this package, start R (version "4.6") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("ClusterGVis")For older versions of R, please refer to the appropriate Bioconductor release.
Details
| Version | 1.0.0 |
| License | MIT + file LICENSE |
| URL | https://github.com/junjunlab/ClusterGVis/ https://junjunlab.github.io/ClusterGvis-manual/ |
| Bug Reports | https://github.com/junjunlab/ClusterGVis/issues |
| Last updated | 2026-04-28 |
| In Bioconductor since | BioC 3.23 (R-4.6) (less than a year) |
| Downloads rank | 2145 of 2,418 |
| Source branch | RELEASE_3_23 |
| Build report | Bioconductor build system, r-universe |
| biocViews | Clustering, GeneExpression, RNASeq, SingleCell, Software, Transcriptomics, Visualization |
| Package Short Url | https://bioconductor.org/packages/ClusterGVis/ |
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("ClusterGVis")| vignette | HTML | R Script |
| Reference Manual | ||
| NEWS | Text |
Download
Follow the installation instructions to use this package in your R session.
| Source package | ClusterGVis_1.0.0.tar.gz |
| Windows binary (x86_64) | ClusterGVis_1.0.0.zip |
| macOS binary (arm64) | ClusterGVis_1.0.0.tgz |
| macOS binary (x86_64) | ClusterGVis_1.0.0.tgz |
| Source Repository | git clone https://git.bioconductor.org/packages/ClusterGVis |
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/ClusterGVis |
| Package Downloads Report | Download Stats |
Dependencies
Depends: R (>= 4.5)
Imports: colorRamps, dplyr, e1071, factoextra, ggplot2, grDevices, grid, Matrix, methods, purrr, reshape2, scales, stats, tibble, SingleCellExperiment, SummarizedExperiment, igraph, VGAM, scuttle
Suggests: Biobase, ComplexHeatmap, clusterProfiler, TCseq, org.Mm.eg.db, circlize, knitr, monocle, pheatmap, rmarkdown, Seurat, WGCNA, utils, BiocManager, S4Vectors, pheatmap, testthat (>= 3.0.0)