Find cells with highest scores for a given dimensional reduction technique
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
data("pbmc_small") pbmc_small head(TopCells(object = pbmc_small[["pca"]])) # Can specify which dimension and how many cells to return TopCells(object = pbmc_small[["pca"]], dim = 2, ncells = 5)
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