Bioconductor 3.23 Release!

ClusterGVis

This is the released version of ClusterGVis; for the devel version, see ClusterGVis.

One-Step to Cluster and Visualize Gene Expression Data


Bioconductor version: Release (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")

BiocManager::install("ClusterGVis")

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

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("ClusterGVis")
vignette HTML R Script
Reference Manual PDF
NEWS Text
LICENSE Text

Details

biocViews Clustering, GeneExpression, RNASeq, SingleCell, Software, Transcriptomics, Visualization
Version 1.0.0
In Bioconductor since BioC 3.23 (R-4.6) (< 6 months)
License MIT + file LICENSE
Depends R (>= 4.5)
Imports colorRamps, dplyr, e1071, factoextra, ggplot2, grDevices, grid, Matrix, methods, purrr, reshape2, scales, stats, tibble, SingleCellExperiment, SummarizedExperiment, igraph, VGAM, scuttle
System Requirements
URL https://github.com/junjunlab/ClusterGVis/ https://junjunlab.github.io/ClusterGvis-manual/
Bug Reports https://github.com/junjunlab/ClusterGVis/issues
See More
Suggests Biobase, ComplexHeatmap, clusterProfiler, TCseq, org.Mm.eg.db, circlize, knitr, monocle, pheatmap, rmarkdown, Seurat, WGCNA, utils, BiocManager, S4Vectors, pheatmap, testthat (>= 3.0.0)
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Depends On Me
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Package Archives

Follow Installation instructions to use this package in your R session.

Source Package ClusterGVis_1.0.0.tar.gz
Windows Binary (x86_64) ClusterGVis_0.99.9.zip (64-bit only)
macOS Binary (big-sur-x86_64) ClusterGVis_0.99.9.tgz
macOS Binary (big-sur-arm64)
macOS Binary (sonoma-arm64) ClusterGVis_1.0.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/ClusterGVis
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/ClusterGVis
Bioc Package Browser https://code.bioconductor.org/browse/ClusterGVis/
Package Short Url https://bioconductor.org/packages/ClusterGVis/
Package Downloads Report Download Stats