R/objects.R
TopCells.Rd
Return a list of genes with the strongest contribution to a set of components
TopCells(object, dim = 1, ncells = 20, balanced = FALSE, ...)
object | DimReduc object |
---|---|
dim | Dimension to use |
ncells | Number of cells to return |
balanced | Return an equal number of cells with both + and - scores. |
... | Extra parameters passed to |
Returns a vector of cells
#> An object of class Seurat #> 230 features across 80 samples within 1 assay #> Active assay: RNA (230 features, 20 variable features) #> 2 dimensional reductions calculated: pca, tsne#> [1] "ACGTGATGCCATGA" "ATACCACTCTAAGC" "ATTGCACTTGCTTT" "CTAGGTGATGGTTG" #> [5] "GACATTCTCCACCT" "ATAGGAGAAACAGA"# Can specify which dimension and how many cells to return TopCells(object = pbmc_small[["pca"]], dim = 2, ncells = 5)#> [1] "ACAGGTACTGGTGT" "GTTGACGATATCGG" "GGCATATGCTTATC" "CTAACGGAACCGAT" #> [5] "CATTACACCAACTG"