Convert: loom ==> SingleCellExperiment

Source: R/loom_to_sce.R

Convert: loom ==> SingleCellExperiment

loom_to_sce(object, verbose = T, ...)

Examples

library(scKirby)
sce <- loom_to_sce(object=example_loom())

#> + loom ==> SingleCellExperiment
#> Registered S3 method overwritten by 'cli':
#>   method     from         
#>   print.boxx spatstat.geom
#> Registered S3 method overwritten by 'SeuratDisk':
#>   method            from  
#>   as.sparse.H5Group Seurat
#> Attaching SeuratObject
#> Saving data from RNA as /matrix
#> Adding slot counts for assay RNA
#> Adding layer counts
#> Adding col attribute CellID
#> Adding col attribute orig.ident
#> Adding col attribute nCount_RNA
#> Adding col attribute nFeature_RNA
#> Adding col attribute RNA_snn_res.0.8
#> Adding col attribute letter.idents
#> Adding col attribute groups
#> Adding col attribute RNA_snn_res.1
#> Adding row attribute Gene
#> Reading in /matrix
#> Storing /matrix as counts
#> Saving /matrix to assay 'RNA'
#> Loading graph RNA_snn
#> [1] "+ Checking SCE rownames."