Package: CytoTree
Type: Package
Title: A Toolkit for Flow And Mass Cytometry Data
Version: 1.0.3
Date: 2020-11-11
Authors@R: person("Yuting", "Dai", role = c("aut", "cre"), email = "forlynna@sjtu.edu.cn")
Description: A trajectory inference toolkit for flow and mass 
    cytometry data. CytoTree is a valuable tool to build a 
    tree-shaped trajectory using flow and mass cytometry data. 
    The application of CytoTree ranges from clustering 
    and dimensionality reduction to trajectory reconstruction 
    and pseudotime estimation. It offers complete analyzing 
    workflow for flow and mass cytometry data. 
Depends: R (>= 4.0), igraph
Imports: FlowSOM, Rtsne, ggplot2, destiny, gmodels, flowUtils, Biobase,
        Matrix, flowCore, sva, matrixStats, methods, mclust, prettydoc,
        RANN(>= 2.5), Rcpp (>= 0.12.0), BiocNeighbors, cluster,
        pheatmap, scatterpie, umap, scatterplot3d, limma, stringr,
        grDevices, grid, stats
Suggests: BiocGenerics, knitr, RColorBrewer, rmarkdown, testthat,
        BiocStyle
biocViews: CellBiology, Clustering, Visualization, Software,
        CellBasedAssays, FlowCytometry, NetworkInference, Network
VignetteBuilder: knitr
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
BugReports: https://github.com/JhuangLab/CytoTree/issues
URL: http://www.r-project.org, https://github.com/JhuangLab/CytoTree
LinkingTo: Rcpp
git_url: https://git.bioconductor.org/packages/CytoTree
git_branch: RELEASE_3_12
git_last_commit: 929282c
git_last_commit_date: 2020-11-08
Date/Publication: 2020-11-08
NeedsCompilation: yes
Packaged: 2020-11-09 01:28:04 UTC; biocbuild
Author: Yuting Dai [aut, cre]
Maintainer: Yuting Dai <forlynna@sjtu.edu.cn>
Built: R 4.0.3; i386-w64-mingw32; 2020-11-09 14:17:35 UTC; windows
Archs: i386, x64
