DESCRIPTION

Package: ClusterGVis
Title: One-Step to Cluster and Visualize Gene Expression Data
Version: 0.1.2
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
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.2
Depends: 
    R (>= 2.10)
Imports: Biobase,circlize,clusterProfiler,colorRamps,ComplexHeatmap,dplyr,e1071,
    factoextra,ggplot2,grDevices,grid,magrittr,Matrix,methods,Mfuzz,purrr,
    reshape2,scales,SingleCellExperiment,stats,SummarizedExperiment,TCseq,tibble
Suggests: igraph, monocle, pheatmap, Seurat, WGCNA
biocViews: Sequencing,clusterProfiler,SummarizedExperiment,Mfuzz
BugReports: https://github.com/junjunlab/ClusterGVis/issues