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.
- GitHub
- https://junjunlab.github.io/ClusterGvis-manual/
- File a bug report
- ClusterGVis results
- ClusterGVis.pdf
- Version0.1.3
- R versionR (≥ 2.10)
- LicenseMIT
- LicenseLICENSE
- Needs compilation?No
- ClusterGVis citation info
- Last release06/17/2025
Documentation
Team
Jun Zhang
MaintainerShow author details
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Dependencies
- Imports13 packages
- Suggests6 packages