Package: ClusterGVis
Title: One-Step to Cluster and Visualize Gene Expression Data
Version: 0.1.3
Authors@R: 
  person("Jun", "Zhang", , "3219030654@stu.cpu.edu.cn", role = c("aut", "cre"),comment = c(ORCID = "0000-0001-7692-9105"))
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.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
RoxygenNote: 7.3.2
Depends: R (>= 2.10)
Imports:
        Biobase,circlize,clusterProfiler,colorRamps,ComplexHeatmap,dplyr,e1071,
        factoextra,ggplot2,grDevices,grid,magrittr,Matrix,methods,purrr,BiocManager,
        reshape2,scales,SingleCellExperiment,stats,SummarizedExperiment,TCseq,tibble
Suggests: igraph, knitr, monocle, pheatmap, rmarkdown, Seurat, WGCNA,
        utils
biocViews:
        clusterProfiler,SummarizedExperiment,ComplexHeatmap,circlize,SingleCellExperiment,TCseq
URL: https://github.com/junjunlab/ClusterGVis/,
        https://junjunlab.github.io/ClusterGvis-manual/
BugReports: https://github.com/junjunlab/ClusterGVis/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-06-17 01:31:16 UTC; 11389
Author: Jun Zhang [aut, cre] (ORCID: <https://orcid.org/0000-0001-7692-9105>)
Maintainer: Jun Zhang <3219030654@stu.cpu.edu.cn>
Repository: CRAN
Date/Publication: 2025-06-17 04:20:09 UTC
