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:	0.1.2
Depends:	R (≥ 2.10)
Imports:	Biobase, circlize, clusterProfiler, colorRamps, ComplexHeatmap, dplyr, e1071, factoextra, ggplot2, grDevices, grid, magrittr, Matrix, methods, Mfuzz, purrr, reshape2, scales, SingleCellExperiment, stats, SummarizedExperiment, TCseq, tibble
Suggests:	igraph, monocle, pheatmap, Seurat, WGCNA
Published:	2025-02-14
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
NeedsCompilation:	no
Citation:	ClusterGVis citation info
Materials:	README
CRAN checks:	ClusterGVis results

Documentation:

Reference manual:

ClusterGVis.pdf

Downloads:

Package source:	ClusterGVis_0.1.2.tar.gz
Windows binaries:	r-devel: ClusterGVis_0.1.2.zip, r-release: ClusterGVis_0.1.2.zip, r-oldrel: ClusterGVis_0.1.2.zip
macOS binaries:	r-devel (arm64): not available, r-release (arm64): not available, r-oldrel (arm64): not available, r-devel (x86_64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available

Linking:

Please use the canonical form https://CRAN.R-project.org/package=ClusterGVis to link to this page.