Package: SETA
Title: Single Cell Ecological Taxonomic Analysis
Version: 1.1.0
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
git_url: https://git.bioconductor.org/packages/SETA
git_branch: devel
git_last_commit: 4f2c997
git_last_commit_date: 2025-10-29
Repository: Bioconductor 3.23
Date/Publication: 2025-11-13
NeedsCompilation: no
Packaged: 2025-11-13 22:42:38 UTC; biocbuild
Author: Kyle Kimler [aut, cre] (ORCID: <https://orcid.org/0000-0003-4735-9064>),
  Marc Elosua-Bayes [aut]
Maintainer: Kyle Kimler <kkimler@broadinstitute.org>
Built: R 4.6.0; ; 2025-11-14 04:56:36 UTC; unix
