Package: SETA
Title: Single Cell Ecological Taxonomic Analysis
Version: 1.2.0
Authors@R: c(
    person("Kyle", "Kimler", email = "kkimler@broadinstitute.org", role = c("aut", "cre"), comment=c(ORCID="0000-0003-4735-9064")),
    person("Marc", "Elosua-Bayes", role = "aut")
    )
Description: Tools for compositional and other sample-level ecological
        analyses and visualizations tailored for single-cell RNA-seq
        data. SETA includes functions for taxonomizing celltypes,
        normalizing data, performing statistical tests, and visualizing
        results. Several tutorials are included to guide users and
        introduce them to key concepts. SETA is meant to teach users
        about statistical concepts underlying ecological analysis
        methods so they can apply them to their own single-cell data.
URL: https://github.com/kkimler/SETA
BugReports: https://github.com/kkimler/SETA/issues
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.5.0)
Imports: dplyr, MASS, Matrix, SingleCellExperiment (>= 1.30.1), stats,
        tidygraph, rlang, utils
Suggests: BiocStyle, caret, glmnet, corrplot, ggplot2, ggraph, knitr,
        methods, patchwork, reshape2, rmarkdown, SeuratObject, Seurat,
        SummarizedExperiment, TabulaMurisSenisData, tidyr, tidytext,
        testthat (>= 3.0.0)
VignetteBuilder: knitr
biocViews: SingleCell, Transcriptomics, RNASeq, GeneExpression,
        StatisticalMethod, DimensionReduction, Visualization,
        Normalization, DataRepresentation, SystemsBiology
RoxygenNote: 7.3.2
Config/pak/sysreqs: libglpk-dev libicu-dev libxml2-dev zlib1g-dev
Repository: Bioconductor 3.23
Date/Publication: 2026-04-28 13:05:34 UTC
RemoteUrl: https://github.com/bioc/SETA
RemoteRef: RELEASE_3_23
RemoteSha: af15818c91388be2516ee1084188e6a96898afaf
NeedsCompilation: no
Packaged: 2026-07-04 14:35:08 UTC; root
Author: Kyle Kimler [aut, cre] (ORCID: <https://orcid.org/0000-0003-4735-9064>),
  Marc Elosua-Bayes [aut]
Maintainer: Kyle Kimler <kkimler@broadinstitute.org>