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singIST

comparative single-cell transcriptomics between disease models and a human condition

Bioconductor version: 3.23 · Package version: 1.0.0

Provides with toolkits to implement a full singIST analysis with pseudobulked Seurat objects of disease models and human data.

Installation

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

BiocManager::install("singIST")

Details

MaintainerAitor Moruno-Cuenca <morunoaitor@gmail.com>
AuthorAitor Moruno-Cuenca [aut, cre] (ORCID: <https://orcid.org/0009-0009-8133-2552>), Dr. Sergio Picart-Armada [rev] (ORCID: <https://orcid.org/0000-0002-6426-8204>), Dr. Alexandre Perera-Lluna [ths] (ORCID: <https://orcid.org/0000-0001-6427-851X>), Dr. Francesc Fernández-Albert [ths] (ORCID: <https://orcid.org/0000-0001-5561-0701>)
LicenseMIT + file LICENSE
URLhttps://github.com/DataScienceRD-Almirall/singIST
Bug Reportshttps://github.com/DataScienceRD-Almirall/singIST/issues
Downloads rank50
Source branchRELEASE_3_23
biocViewsClassification, SingleCell, Software, Transcriptomics

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Dependencies

Depends: R (>= 4.5.0)

Imports: msigdb, GSEABase, checkmate, stats, asmbPLS, BiocParallel, stringr, FactoMineR, Seurat, SeuratObject, biomaRt, data.table, purrr, SingleCellExperiment, SummarizedExperiment, scran, scuttle, missMDA, S4Vectors

Suggests: testthat (>= 3.0.0), BiocStyle, knitr, qpdf, utils, RcppAlgos, glmGamPoi, methods, sp