SingleCellExperiment

This is the development version of SingleCellExperiment; for the stable release version, see SingleCellExperiment.

S4 Classes for Single Cell Data

Bioconductor version: Development (3.18)

Defines a S4 class for storing data from single-cell experiments. This includes specialized methods to store and retrieve spike-in information, dimensionality reduction coordinates and size factors for each cell, along with the usual metadata for genes and libraries.

Author: Aaron Lun [aut, cph], Davide Risso [aut, cre, cph], Keegan Korthauer [ctb], Kevin Rue-Albrecht [ctb]

Maintainer: Davide Risso <risso.davide at gmail.com>

Citation (from within R, enter citation("SingleCellExperiment")):

Installation

To install this package, start R (version "4.3") and enter:

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("SingleCellExperiment")

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("SingleCellExperiment")

1. An introduction to the SingleCellExperiment class	HTML	R Script
2. Applying over a SingleCellExperiment object	HTML	R Script
3. Developing around the SingleCellExperiment class	HTML	R Script
Reference Manual	PDF
NEWS	Text

Details

biocViews	DataImport, DataRepresentation, ImmunoOncology, Infrastructure, SingleCell, Software
Version	1.23.0
In Bioconductor since	BioC 3.6 (R-3.4) (6 years)
License	GPL-3
Depends	SummarizedExperiment
Imports	methods, utils, stats, S4Vectors, BiocGenerics, GenomicRanges, DelayedArray
Linking To
Suggests	testthat, BiocStyle, knitr, rmarkdown, Matrix, scRNAseq(>= 2.9.1), Rtsne
System Requirements
Enhances
URL

Depends On Me	alabaster.sce, BASiCS, batchelor, BayesSpace, CATALYST, celda, CellBench, CelliD, CellTrails, CHETAH, clusterExperiment, cydar, cytomapper, demuxSNP, DropletUtils, ExperimentSubset, HCAData, imcdatasets, iSEE, iSEEhub, iSEEindex, LoomExperiment, MAST, mia, MouseGastrulationData, MouseThymusAgeing, mumosa, muscData, NeuCA, POWSC, scAnnotatR, scATAC.Explorer, scater, scDataviz, scDblFinder, scGPS, schex, scMultiome, scPipe, scran, scRNAseq, scuttle, scviR, singleCellTK, SiPSiC, SpatialExperiment, splatter, switchde, TENxBrainData, TENxIO, TENxPBMCData, tidySingleCellExperiment, TMExplorer, TrajectoryUtils, TreeSummarizedExperiment, tricycle, TSCAN, WeberDivechaLCdata, zinbwave
Imports Me	ADImpute, aggregateBioVar, airpart, ANCOMBC, APL, ASURAT, BASiCStan, bayNorm, BEARscc, BUSseq, ccfindR, CDI, CellMixS, Cepo, ChromSCape, CiteFuse, clustifyr, CoGAPS, condiments, corral, CuratedAtlasQueryR, cytofQC, cytoviewer, destiny, DifferentialRegulation, Dino, distinct, dittoSeq, escape, EWCE, fcoex, FEAST, fishpond, FLAMES, ggspavis, glmGamPoi, GSVA, HIPPO, ILoReg, imcRtools, infercnv, IRISFGM, iSEEu, LineagePulse, lisaClust, mastR, mbkmeans, MEB, MerfishData, MetaNeighbor, miloR, miQC, MuData, muscat, Nebulosa, netSmooth, NewWave, nnSVG, partCNV, peco, phemd, pipeComp, SC3, SCArray, scBFA, scCB2, sccomp, scDD, scDDboost, scds, scHOT, scmap, scMerge, scMET, SCnorm, scone, scp, scpdata, scReClassify, scRepertoire, scRNAseqApp, scruff, scry, scTensor, scTGIF, scTreeViz, SingleCellMultiModal, slalom, slingshot, Spaniel, SpatialFeatureExperiment, spatialHeatmap, spatialLIBD, speckle, spicyR, SPOTlight, SPsimSeq, standR, Statial, TabulaMurisSenisData, tradeSeq, traviz, treekoR, UCell, VAExprs, VDJdive, velociraptor, Voyager, waddR, zellkonverter
Suggests Me	ccImpute, CellaRepertorium, cellxgenedp, DEsingle, dorothea, DuoClustering2018, FCBF, FuseSOM, genomicInstability, GSE103322, hca, HDF5Array, InteractiveComplexHeatmap, M3Drop, microbiomeDataSets, microSTASIS, MOFA2, ontoProc, phenopath, progeny, QFeatures, scBubbletree, scFeatureFilter, scPCA, scRecover, simpleSingleCell, SingleR, TabulaMurisData, TREG, updateObject
Links To Me
Build Report

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package	SingleCellExperiment_1.23.0.tar.gz
Windows Binary	SingleCellExperiment_1.23.0.zip (64-bit only)
macOS Binary (x86_64)	SingleCellExperiment_1.23.0.tgz
macOS Binary (arm64)
Source Repository	git clone https://git.bioconductor.org/packages/SingleCellExperiment
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/SingleCellExperiment
Bioc Package Browser	https://code.bioconductor.org/browse/SingleCellExperiment/
Package Short Url	https://bioconductor.org/packages/SingleCellExperiment/
Package Downloads Report	Download Stats