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ClusterGVis  

One-Step to Cluster and Visualize Gene Expression Data
View on CRAN: Click here


Download and install ClusterGVis package within the R console
Install from CRAN:
install.packages("ClusterGVis")

Install from Github:
library("remotes")
install_github("cran/ClusterGVis")

Install by package version:
library("remotes")
install_version("ClusterGVis", "0.1.2")



Attach the package and use:
library("ClusterGVis")
Maintained by
Jun Zhang
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-02-14
Latest Update: 2025-02-14
Description:
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.
How to cite:
Jun Zhang (2025). ClusterGVis: One-Step to Cluster and Visualize Gene Expression Data. R package version 0.1.2, https://cran.r-project.org/web/packages/ClusterGVis. Accessed 24 Mar. 2025.
Previous versions and publish date:
No previous versions
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Complete documentation for ClusterGVis
Functions, R codes and Examples using the ClusterGVis R package
Full ClusterGVis package functions and examples
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