ClusterGVis

One-Step to Cluster and Visualize Gene Expression Data

Bioconductor version: 3.23 · Package version: 1.0.0

Provides a streamlined workflow for clustering and visualizing gene expression patterns, particularly from time-series RNA-Seq and single-cell experiments. The package is designed to integrate seamlessly within the Bioconductor ecosystem by operating directly on standard data classes such as `SummarizedExperiment` and `SingleCellExperiment`. It implements common clustering algorithms (e.g., k-means, fuzzy c-means) and generates a suite of publication-ready visualizations to explore co-expressed gene modules. Functions are also included to facilitate the visualization of clustering results derived from other popular tools.

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("ClusterGVis")