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