Gene-level single-cell RNA-seq data set.

sce

Format

An object of class SingleCellExperiment with 500 rows and 100 columns.

See also

Examples

data(sce) sce
#> Loading required package: SingleCellExperiment
#> Loading required package: SummarizedExperiment
#> Loading required package: GenomicRanges
#> Loading required package: stats4
#> Loading required package: BiocGenerics
#> Loading required package: parallel
#> #> Attaching package: ‘BiocGenerics’
#> The following objects are masked from ‘package:parallel’: #> #> clusterApply, clusterApplyLB, clusterCall, clusterEvalQ, #> clusterExport, clusterMap, parApply, parCapply, parLapply, #> parLapplyLB, parRapply, parSapply, parSapplyLB
#> The following objects are masked from ‘package:stats’: #> #> IQR, mad, sd, var, xtabs
#> The following objects are masked from ‘package:base’: #> #> anyDuplicated, append, as.data.frame, basename, cbind, colnames, #> dirname, do.call, duplicated, eval, evalq, Filter, Find, get, grep, #> grepl, intersect, is.unsorted, lapply, Map, mapply, match, mget, #> order, paste, pmax, pmax.int, pmin, pmin.int, Position, rank, #> rbind, Reduce, rownames, sapply, setdiff, sort, table, tapply, #> union, unique, unsplit, which, which.max, which.min
#> Loading required package: S4Vectors
#> #> Attaching package: ‘S4Vectors’
#> The following object is masked from ‘package:base’: #> #> expand.grid
#> Loading required package: IRanges
#> Loading required package: GenomeInfoDb
#> Loading required package: Biobase
#> Welcome to Bioconductor #> #> Vignettes contain introductory material; view with #> 'browseVignettes()'. To cite Bioconductor, see #> 'citation("Biobase")', and for packages 'citation("pkgname")'.
#> Loading required package: DelayedArray
#> Loading required package: matrixStats
#> #> Attaching package: ‘matrixStats’
#> The following objects are masked from ‘package:Biobase’: #> #> anyMissing, rowMedians
#> Loading required package: BiocParallel
#> #> Attaching package: ‘DelayedArray’
#> The following objects are masked from ‘package:matrixStats’: #> #> colMaxs, colMins, colRanges, rowMaxs, rowMins, rowRanges
#> The following objects are masked from ‘package:base’: #> #> aperm, apply, rowsum
#> class: SingleCellExperiment #> dim: 500 100 #> metadata(1): date #> assays(1): counts #> rownames(500): gene1 gene2 ... gene499 gene500 #> rowData names(5): geneID geneName geneBiotype broadClass entrezID #> colnames(100): cell001 cell002 ... cell099 cell100 #> colData names(2): expLibSize sampleID