ClusterGVis: One-Step to Cluster and Visualize Gene Expression Data

Streamlining the clustering and visualization of time-series gene expression data from RNA-Seq experiments, this tool supports fuzzy c-means and k-means clustering algorithms. It is compatible with outputs from widely-used packages such as 'Seurat', 'Monocle', and 'WGCNA', enabling seamless downstream visualization and analysis. See Lokesh Kumar and Matthias E Futschik (2007) <doi:10.6026/97320630002005> for more details.

Version:	0.1.4
Depends:	R (≥ 2.10)
Imports:	colorRamps, dplyr, e1071, factoextra, ggplot2, grDevices, grid, magrittr, Matrix, methods, purrr, reshape2, scales, stats, tibble, SingleCellExperiment
Suggests:	Biobase, ComplexHeatmap, clusterProfiler, SummarizedExperiment, TCseq, circlize, igraph, knitr, monocle, pheatmap, rmarkdown, Seurat, WGCNA, utils, BiocManager
Published:	2025-07-19
DOI:	10.32614/CRAN.package.ClusterGVis
Author:	Jun Zhang [aut, cre]
Maintainer:	Jun Zhang <3219030654 at stu.cpu.edu.cn>
BugReports:	https://github.com/junjunlab/ClusterGVis/issues
License:	MIT + file LICENSE
URL:	https://github.com/junjunlab/ClusterGVis/, https://junjunlab.github.io/ClusterGvis-manual/
NeedsCompilation:	no
Citation:	ClusterGVis citation info
Materials:	README
CRAN checks:	ClusterGVis results

Documentation:

Reference manual:	ClusterGVis.html , ClusterGVis.pdf
Vignettes:	vignette (source)

Downloads:

Package source:	ClusterGVis_0.1.4.tar.gz
Windows binaries:	r-devel: ClusterGVis_0.1.4.zip, r-release: ClusterGVis_0.1.4.zip, r-oldrel: ClusterGVis_0.1.4.zip
macOS binaries:	r-release (arm64): ClusterGVis_0.1.4.tgz, r-oldrel (arm64): ClusterGVis_0.1.4.tgz, r-release (x86_64): ClusterGVis_0.1.4.tgz, r-oldrel (x86_64): ClusterGVis_0.1.4.tgz
Old sources:	ClusterGVis archive

Linking:

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