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
| Maintainer | Aitor Moruno-Cuenca <morunoaitor@gmail.com> |
| Author | Aitor 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>) |
| License | MIT + file LICENSE |
| URL | https://github.com/DataScienceRD-Almirall/singIST |
| Bug Reports | https://github.com/DataScienceRD-Almirall/singIST/issues |
| Downloads rank | 50 |
| Source branch | RELEASE_3_23 |
| biocViews | Classification, 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