RankMap
Rank-based reference mapping for fast and robust cell type annotation in spatial and single-cell transcriptomics
Bioconductor version: 3.23 · Package version: 1.0.0
RankMap is a fast and scalable tool for reference-based cell type annotation of single-cell and spatial transcriptomics data. It uses ranked gene expression and multinomial regression to achieve robust predictions, even with partial gene coverage. Compatible with Seurat, SingleCellExperiment, and SpatialExperiment objects, RankMap offers flexible preprocessing and significantly faster runtime than tools like SingleR, Azimuth, and RCTD.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("RankMap") Details
| Maintainer | Jinming Cheng <jinming.cheng@outlook.com> |
| Author | Jinming Cheng [aut, cre] (ORCID: <https://orcid.org/0000-0003-3806-4694>) |
| License | GPL (>= 3) |
| URL | https://github.com/jinming-cheng/RankMap |
| Bug Reports | https://github.com/jinming-cheng/RankMap/issues |
| Downloads rank | 45 |
| Source branch | RELEASE_3_23 |
| biocViews | Annotation, GeneExpression, Preprocessing, Regression, SingleCell, Software, Spatial, Transcriptomics |
Documentation
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Dependencies
Depends: R (>= 4.5.0)
Imports: dplyr, glmnet, graphics, magrittr, Matrix, matrixStats, rlang, Seurat, stats, SummarizedExperiment
Suggests: BiocStyle, knitr, rmarkdown, SingleCellExperiment, testthat (>= 3.0.0)