cluster_cells
cluster_cells(x, method = "kmeans", ...)
# S3 method for SingleCellExperiment
cluster_cells(
x,
method = "kmeans",
ncluster = NULL,
assay.name = "logcounts",
coord.name = "PCA",
column.name = "cluster",
hclust.method = "ward.D",
dist.method = "euclidean",
resolution = 1,
algorithm = 3,
...
)
object with data matrix.
type of dimensionality reduction.
arguments passed down to methods.
number of clusters.
name of assay slot.
name of reducedDim slot.
name of column to store cluster class.
method for hierarchical clustering (default: ward.D).
method for distance calculation (default: euclidean).
parameter for seurat method (see ?Seurat::FindClusters).
parameter for seurat method (see ?Seurat::FindClusters).