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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
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