scrapper
Bindings to C++ Libraries for Single-Cell Analysis
Bioconductor version: 3.23 · Package version: 1.6.3
Implements R bindings to C++ code for analyzing single-cell (expression) data, mostly from various libscran libraries. Each function performs an individual step in the single-cell analysis workflow, ranging from quality control to clustering and marker detection. Additional wrappers are provided for easy construction of end-to-end workflows involving Bioconductor objects like SingleCellExperiments.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("scrapper") Details
| Maintainer | Aaron Lun <infinite.monkeys.with.keyboards@gmail.com> |
| Author | Aaron Lun [cre, aut] |
| License | MIT + file LICENSE |
| URL | https://github.com/libscran/scrapper |
| Bug Reports | https://github.com/libscran/scrapper/issues |
| System Requirements | C++17, GNU make |
| Downloads rank | 1910 |
| Source branch | RELEASE_3_23 |
| biocViews | BatchEffect, Clustering, DifferentialExpression, FeatureExtraction, GeneExpression, Normalization, PrincipalComponent, QualityControl, RNASeq, SingleCell, Software, Transcriptomics |
Documentation
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Dependencies
Imports: methods, Rcpp, beachmat (>= 2.25.1), S4Vectors, SparseArray, DelayedArray, BiocNeighbors (>= 1.99.0), parallel
LinkingTo: Rcpp, assorthead (>= 1.5.16), beachmat, BiocNeighbors, Rigraphlib
Suggests: testthat, knitr, rmarkdown, BiocStyle, Matrix, IRanges, SummarizedExperiment, SingleCellExperiment, scRNAseq, org.Mm.eg.db, scater, igraph
Reverse dependencies
Imports Me (6): BatChef, epiregulon, FLAMES, imcRtools, scDblFinder, splatter
Suggests Me (5): Coralysis, GSVA, scran, SingleR, spatialHeatmap