Package: scry
Title: Small-Count Analysis Methods for High-Dimensional Data
Version: 1.4.0
Description: Many modern biological datasets consist of small counts that are 
            not well fit by standard linear-Gaussian methods such as principal
            component analysis. This package provides implementations of 
            count-based feature selection and dimension reduction algorithms.
            These methods can be used to facilitate unsupervised analysis
            of any high-dimensional data such as single-cell RNA-seq.
Authors@R: c(person("Kelly", "Street", email = "street.kelly@gmail.com", 
                role = c("aut", "cre")),
            person("F. William", "Townes", email = "will.townes@gmail.com",
                role = c("aut",  "cph")),
            person("Davide", "Risso", email = "risso.davide@gmail.com",
                role = "aut"),
            person("Stephanie", "Hicks", email = "shicks19@jhu.edu",
                role = "aut")
            )
License: Artistic-2.0
Depends: R (>= 4.0), stats, methods
Imports: DelayedArray, glmpca (>= 0.2.0), HDF5Array, Matrix,
        SingleCellExperiment, SummarizedExperiment, BiocSingular
Suggests: BiocGenerics, covr, DuoClustering2018, ggplot2, knitr,
        rmarkdown, TENxPBMCData, testthat
VignetteBuilder: knitr
URL: https://bioconductor.org/packages/scry.html
BugReports: https://github.com/kstreet13/scry/issues
RoxygenNote: 7.1.1
Encoding: UTF-8
biocViews: DimensionReduction, GeneExpression, Normalization,
        PrincipalComponent, RNASeq, Software, Sequencing, SingleCell,
        Transcriptomics
git_url: https://git.bioconductor.org/packages/scry
git_branch: RELEASE_3_13
git_last_commit: e03f3cb
git_last_commit_date: 2021-05-19
Date/Publication: 2021-05-19
NeedsCompilation: no
Packaged: 2021-05-20 02:20:52 UTC; biocbuild
Author: Kelly Street [aut, cre],
  F. William Townes [aut, cph],
  Davide Risso [aut],
  Stephanie Hicks [aut]
Maintainer: Kelly Street <street.kelly@gmail.com>
Built: R 4.1.0; ; 2021-05-20 10:00:08 UTC; windows
