Bioconductor version: Release (3.11)
Efficient identification of doublets in single-cell RNAseq directly from counts using overclustering-based generation of artifical doublets.
Author: Pierre-Luc Germain [cre, aut]
Maintainer: Pierre-Luc Germain <pierre-luc.germain at hest.ethz.ch>
Citation (from within R,
enter citation("scDblFinder")
):
To install this package, start R (version "4.0") and enter:
if (!requireNamespace("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("scDblFinder")
For older versions of R, please refer to the appropriate Bioconductor release.
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("scDblFinder")
HTML | R Script | scDblFinder |
Reference Manual |
biocViews | Preprocessing, RNASeq, SingleCell, Software |
Version | 1.2.0 |
In Bioconductor since | BioC 3.10 (R-3.6) (1 year) |
License | GPL-3 |
Depends | R (>= 4.0) |
Imports | igraph, Matrix, matrixStats, BiocParallel, BiocNeighbors, BiocSingular, SummarizedExperiment, SingleCellExperiment, scran, scater, data.table, dplyr, ggplot2, randomForest, graphics, methods, stats, DelayedArray |
LinkingTo | |
Suggests | BiocStyle, knitr, rmarkdown |
SystemRequirements | |
Enhances | |
URL | https://github.com/plger/scDblFinder |
BugReports | https://github.com/plger/scDblFinder/issues |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | scDblFinder_1.2.0.tar.gz |
Windows Binary | scDblFinder_1.2.0.zip |
macOS 10.13 (High Sierra) | scDblFinder_1.2.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/scDblFinder |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/scDblFinder |
Package Short Url | https://bioconductor.org/packages/scDblFinder/ |
Package Downloads Report | Download Stats |
Old Source Packages for BioC 3.11 | Source Archive |
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