scds
In-Silico Annotation of Doublets for Single Cell RNA Sequencing Data
Bioconductor version: Release (3.20)
In single cell RNA sequencing (scRNA-seq) data combinations of cells are sometimes considered a single cell (doublets). The scds package provides methods to annotate doublets in scRNA-seq data computationally.
Author: Dennis Kostka [aut, cre], Bais Abha [aut]
Maintainer: Dennis Kostka <kostka at pitt.edu>
Citation (from within R, enter
citation("scds")
):
Installation
To install this package, start R (version "4.4") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("scds")
For older versions of R, please refer to the appropriate Bioconductor release.
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("scds")
Introduction to the scds package | HTML | R Script |
Reference Manual | ||
NEWS | Text | |
LICENSE | Text |
Details
biocViews | Classification, GeneExpression, Preprocessing, QualityControl, RNASeq, Sequencing, SingleCell, Software, Transcriptomics |
Version | 1.22.0 |
In Bioconductor since | BioC 3.9 (R-3.6) (5.5 years) |
License | MIT + file LICENSE |
Depends | R (>= 3.6.0) |
Imports | Matrix, S4Vectors, SingleCellExperiment, SummarizedExperiment, xgboost, methods, stats, dplyr, pROC |
System Requirements | |
URL |
See More
Suggests | BiocStyle, knitr, rsvd, Rtsne, scater, cowplot, rmarkdown |
Linking To | |
Enhances | |
Depends On Me | |
Imports Me | singleCellTK |
Suggests Me | ExperimentSubset, muscData |
Links To Me | |
Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
Source Package | scds_1.22.0.tar.gz |
Windows Binary (x86_64) | scds_1.22.0.zip |
macOS Binary (x86_64) | scds_1.22.0.tgz |
macOS Binary (arm64) | scds_1.22.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/scds |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/scds |
Bioc Package Browser | https://code.bioconductor.org/browse/scds/ |
Package Short Url | https://bioconductor.org/packages/scds/ |
Package Downloads Report | Download Stats |