This is the released version of scDblFinder; for the devel version, see scDblFinder.
scDblFinderBioconductor version: Release (3.21)
The scDblFinder package gathers various methods for the detection and handling of doublets/multiplets in single-cell sequencing data (i.e. multiple cells captured within the same droplet or reaction volume). It includes methods formerly found in the scran package, the new fast and comprehensive scDblFinder method, and a reimplementation of the Amulet detection method for single-cell ATAC-seq.
Author: Pierre-Luc Germain [cre, aut] ORCID: 0000-0003-3418-4218 , Aaron Lun [ctb]
Maintainer: Pierre-Luc Germain <pierre-luc.germain at hest.ethz.ch>
Citation (from within R, entercitation("scDblFinder")
): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("scDblFinder")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("scDblFinder")
Details biocViews ATACSeq, Preprocessing, RNASeq, SingleCell, Software Version 1.22.0 In Bioconductor since BioC 3.10 (R-3.6) (5.5 years) License GPL-3 + file LICENSE Depends R (>= 4.0), SingleCellExperiment Imports igraph, Matrix, BiocGenerics, BiocParallel, BiocNeighbors, BiocSingular, S4Vectors, SummarizedExperiment, scran, scater, scuttle, bluster, methods, DelayedArray, xgboost, stats, utils, MASS, IRanges, GenomicRanges, GenomeInfoDb, Rsamtools, rtracklayer System Requirements URL https://github.com/plger/scDblFinder https://plger.github.io/scDblFinder/ Bug Reports https://github.com/plger/scDblFinder/issues See More Suggests BiocStyle, knitr, rmarkdown, testthat, scRNAseq, circlize, ComplexHeatmap, ggplot2, dplyr, viridisLite, mbkmeans Linking To Enhances Depends On Me OSCA.advanced Imports Me singleCellTK Suggests Me Links To Me Build Report Build Report Package Archives
Follow Installation instructions to use this package in your R session.
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