DESCRIPTION

Package: celda
Title: CEllular Latent Dirichlet Allocation
Version: 0.99.8
Authors@R: c(person("Joshua", "Campbell", email = "camp@bu.edu", role = c("aut", "cre")),
             person("Sean", "Corbett", email = "scorbett@bu.edu", role = c("aut")),
	     person("Yusuke", "Koga", email="ykoga07@bu.edu", role = c("aut")))
Description: celda leverages Bayesian hierarchical modeling to cluster genes,
    cells, or both simultaneously from single cell sequencing data.
Depends:
    R (>= 3.5),
    SummarizedExperiment
Imports:
    plyr,
    foreach,
    ggplot2,
    RColorBrewer,
    pheatmap,
    grid,
    scales,
    gtable,
    grDevices,
    graphics,
    matrixStats,
    doParallel,
    cluster,
    digest,
    gridExtra,
    methods,
    reshape2,
    MAST,
    GenomicRanges,
    data.table,
    Rcpp,
    RcppEigen
Suggests:
    testthat,
    knitr,
    roxygen2,
    rmarkdown,
    vcd,
    corrplot,
    Matrix,
    biomaRt,
    Rtsne,
    covr
LinkingTo: Rcpp, RcppEigen
VignetteBuilder: knitr
License: MIT
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.0
BugReports: https://github.com/definitelysean/celda/issues
biocViews: SingleCell, GeneExpression, Clustering, Sequencing, Bayesian