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SETA

Single Cell Ecological Taxonomic Analysis

Bioconductor version: 3.23 · Package version: 1.2.0

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.

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("SETA")

Details

MaintainerKyle Kimler <kkimler@broadinstitute.org>
AuthorKyle Kimler [aut, cre] (ORCID: <https://orcid.org/0000-0003-4735-9064>), Marc Elosua-Bayes [aut]
LicenseMIT + file LICENSE
URLhttps://github.com/kkimler/SETA
Bug Reportshttps://github.com/kkimler/SETA/issues
Downloads rank270
Source branchRELEASE_3_23
biocViewsDataRepresentation, DimensionReduction, GeneExpression, Normalization, RNASeq, SingleCell, Software, StatisticalMethod, SystemsBiology, Transcriptomics, Visualization

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packageSETA_1.2.0.tar.gz
Windows binary (x86_64)SETA_1.2.0.zip
macOS binary (arm64)SETA_1.2.0.tgz
macOS binary (x86_64)SETA_1.2.0.tgz
Dependencies

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)