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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.
Getting started
Browse package contents
Package details |
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| Author | Jun Zhang [aut, cre] (<https://orcid.org/0000-0001-7692-9105>) |
| Bioconductor views | Mfuzz Sequencing SummarizedExperiment clusterProfiler |
| Maintainer | Jun Zhang <3219030654@stu.cpu.edu.cn> |
| License | MIT + file LICENSE |
| Version | 0.1.2 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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