ClusterGVis

This is the development version of ClusterGVis; to use it, please install the devel version of Bioconductor.

One-Step to Cluster and Visualize Gene Expression Data

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DOI: 10.18129/B9.bioc.ClusterGVis

Bioconductor version: Development (3.23)

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.

Author: Jun Zhang [aut, cre, cph] ORCID iD ORCID: 0000-0001-7692-9105

Maintainer: Jun Zhang <1138976957 at qq.com>

Citation (from within R, enter citation("ClusterGVis")):

Installation

To install this package, start R (version "4.6") and enter:


if (!require("BiocManager", quietly = TRUE))
 install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("ClusterGVis")

For older versions of R, please refer to the appropriate Bioconductor release.