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: For better clustering and visualizing the time series gene expression data 
 of RNA-SEQ with fuzzy c-means algorithm from 'e1071' package 
 or k-means clustering algorithm from 'ComplexHeatmap' package, the function 'blockwiseModules' from 'WGCNA' package 
 outputs also can be accepted and can be used to produce graphs for visualization, 
 here supply a package to cluster and visualize time-serie gene expression data 
 in a more concise and elegant way with one-step operation. 
 You can also do enrichment analysis for each clusters with using 
 'clusterProfiler' in 'enrichCluster' function. 
 'ClusterGVis' allows you to create publication-quality figures.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.2
Depends: 
    monocle,
    R (>= 2.10)
Remotes:
  junjunlab/jjAnno,
  cole-trapnell-lab/monocle3,
  jokergoo/circlize,
  jokergoo/ComplexHeatmap
Imports: 
    Biobase,
    circlize,
    clusterProfiler,
    colorRamps,
    ComplexHeatmap,
    dplyr,
    e1071,
    factoextra,
    ggplot2,
    grDevices,
    grid,
    igraph,
    jjAnno,
    magrittr,
    Matrix,
    Mfuzz,
    monocle3,
    org.Mm.eg.db,
    pheatmap,
    purrr,
    reshape2,
    scales,
    Seurat,
    stats,
    SummarizedExperiment,
    TCseq,
    tibble,
    WGCNA
biocViews: Sequencing,clusterProfiler,org.Mm.eg.db,SummarizedExperiment,Mfuzz