DESCRIPTION
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 Package: celda
 Title: CEllular Latent Dirichlet Allocation
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 Version: 1.0.4
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 Authors@R: c(person("Joshua", "Campbell", email = "camp@bu.edu", role = c("aut", "cre")),
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              person("Sean", "Corbett", email = "scorbett@bu.edu", role = c("aut")),
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 	     person("Yusuke", "Koga", email="ykoga07@bu.edu", role = c("aut")),
 	     person("Zhe", "Wang", email="zhe@bu.edu", role = c("aut")))
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 Description: celda leverages Bayesian hierarchical modeling to cluster genes,
     cells, or both simultaneously from single cell sequencing data.
 Depends:
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     R (>= 3.6)
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 VignetteBuilder: knitr
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 Imports:
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     stats,
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     plyr,
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     foreach,
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     ggplot2,
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     RColorBrewer,
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     grid,
     scales,
     gtable,
     grDevices,
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     graphics,
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     matrixStats,
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     doParallel,
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     digest,
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     gridExtra,
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     methods,
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     reshape2,
     MAST,
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     S4Vectors,
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     data.table,
     Rcpp,
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     RcppEigen,
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     umap,
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     enrichR,
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     stringi,
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     SummarizedExperiment,
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     MCMCprecision,
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     ggrepel,
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     Rtsne,
     withr
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 Suggests:
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     testthat,
     knitr,
     roxygen2,
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     rmarkdown,
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     corrplot,
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     Matrix,
     biomaRt,
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     covr,
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     M3DExampleData,
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     BiocManager,
     BiocStyle
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 LinkingTo: Rcpp, RcppEigen
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 License: MIT + file LICENSE
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 Encoding: UTF-8
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 LazyData: false
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 RoxygenNote: 6.1.1
 BugReports: https://github.com/campbio/celda/issues
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 biocViews: SingleCell, GeneExpression, Clustering, Sequencing, Bayesian