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 |