Package: scry
Title: Small-Count Analysis Methods for High-Dimensional Data
Version: 1.25.0
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), Matrix, SingleCellExperiment,
        SummarizedExperiment, BiocSingular
Suggests: BiocGenerics, covr, DuoClustering2018, ggplot2, HDF5Array,
        knitr, markdown, rmarkdown, TENxPBMCData, testthat
VignetteBuilder: knitr
URL: https://bioconductor.org/packages/scry.html
BugReports: https://github.com/kstreet13/scry/issues
RoxygenNote: 7.2.2
Encoding: UTF-8
biocViews: DimensionReduction, GeneExpression, Normalization,
        PrincipalComponent, RNASeq, Software, Sequencing, SingleCell,
        Transcriptomics
Config/pak/sysreqs: zlib1g-dev
Repository: https://bioc.r-universe.dev
Date/Publication: 2026-04-28 12:52:38 UTC
RemoteUrl: https://github.com/bioc/scry
RemoteRef: HEAD
RemoteSha: abf8f7fa96b0713754ad5d68c90dcf1b4905bb4d
NeedsCompilation: no
Packaged: 2026-07-04 22:35:15 UTC; root
Author: Kelly Street [aut, cre],
  F. William Townes [aut, cph],
  Davide Risso [aut],
  Stephanie Hicks [aut]
Maintainer: Kelly Street <street.kelly@gmail.com>