SingleCellMultiModal
Integrating Multi-modal Single Cell Experiment datasets
Bioconductor version: 3.23 · Package version: 1.24.0
SingleCellMultiModal is an ExperimentHub package that serves multiple datasets obtained from GEO and other sources and represents them as MultiAssayExperiment objects. We provide several multi-modal datasets including scNMT, 10X Multiome, seqFISH, CITEseq, SCoPE2, and others. The scope of the package is is to provide data for benchmarking and analysis. To cite, use the 'citation' function and see <https://doi.org/10.1371/journal.pcbi.1011324>.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("SingleCellMultiModal") Details
| Maintainer | Marcel Ramos <marcel.ramos@sph.cuny.edu> |
| Author | Marcel Ramos [aut, cre] (ORCID: <https://orcid.org/0000-0002-3242-0582>), Ricard Argelaguet [aut], Al Abadi [ctb], Dario Righelli [aut], Christophe Vanderaa [ctb], Kelly Eckenrode [aut], Ludwig Geistlinger [aut], Levi Waldron [aut] |
| License | Artistic-2.0 |
| Bug Reports | https://github.com/waldronlab/SingleCellMultiModal/issues |
| Downloads rank | 195 |
| Source branch | RELEASE_3_23 |
| biocViews | ExperimentData, ExperimentHub, GEO, ReproducibleResearch, SingleCellData |
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Dependencies
Depends: R (>= 4.2.0), MultiAssayExperiment
Imports: AnnotationHub, BiocBaseUtils, BiocFileCache, ExperimentHub, graphics, HDF5Array, S4Vectors, SingleCellExperiment, SpatialExperiment, SummarizedExperiment, Matrix, methods, utils
Suggests: BiocStyle, ggplot2, knitr, RaggedExperiment, rmarkdown, scater, scran, UpSetR, uwot