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 + fileLICENSE |
| URL: | https://github.com/junjunlab/ClusterGVis/,https://junjunlab.github.io/ClusterGvis-manual/ |
| NeedsCompilation: | no |
| Citation: | ClusterGVis citation info |
| Materials: | README |
| CRAN checks: | ClusterGVis results |
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