Package: celda
Title: CEllular Latent Dirichlet Allocation
Version: 1.2.4
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")),
    person("Shiyi", "Yang", email="syyang@bu.edu", role = c("aut")),
    person("Eric", "Reed", email="reeder@bu.edu", role = c("aut")),
    person("Zhe", "Wang", email="zhe@bu.edu", role = c("aut")))
Description: celda is a Bayesian hierarchical model that can co-cluster features and cells in single cell sequencing data.
Depends: R (>= 3.6)
VignetteBuilder: knitr
Imports: stats, plyr, foreach, ggplot2, RColorBrewer, grid, scales,
        gtable, grDevices, graphics, matrixStats, doParallel, digest,
        gridExtra, methods, reshape2, MAST, S4Vectors, data.table,
        Rcpp, RcppEigen, uwot, enrichR, stringi, SummarizedExperiment,
        MCMCprecision, ggrepel, Rtsne, withr, dendextend, ggdendro,
        pROC, magrittr
Suggests: testthat, knitr, roxygen2, rmarkdown, corrplot, Matrix,
        biomaRt, covr, M3DExampleData, BiocManager, BiocStyle
LinkingTo: Rcpp, RcppEigen
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: false
RoxygenNote: 7.0.2
BugReports: https://github.com/campbio/celda/issues
biocViews: SingleCell, GeneExpression, Clustering, Sequencing, Bayesian
git_url: https://git.bioconductor.org/packages/celda
git_branch: RELEASE_3_10
git_last_commit: d12778d
git_last_commit_date: 2020-01-21
Date/Publication: 2020-01-22
NeedsCompilation: yes
Packaged: 2020-01-23 05:57:24 UTC; biocbuild
Author: Joshua Campbell [aut, cre],
  Sean Corbett [aut],
  Yusuke Koga [aut],
  Shiyi Yang [aut],
  Eric Reed [aut],
  Zhe Wang [aut]
Maintainer: Joshua Campbell <camp@bu.edu>
Built: R 3.6.2; i386-w64-mingw32; 2020-01-23 13:47:31 UTC; windows
Archs: i386, x64
