filtDistClst | R Documentation |
This function removes cells from the UMAP embedding that are not well supported by other cells. Can be run on a per cluster basis to filter cells that exceed a heuristic threshold of distances to most other cells in the same cluster.
filtDistClst(b, umap1 = "umap1", umap2 = "umap2", threshold2 = 2)
b |
meta data after clustering with Seurat |
threshold2 |
numeric, Z-score threshold to remove cells greater than X standard standard deviations from other cells. |
m1 |
character, if type=="umap", then set to the column name of first component ("umap1"). Only used when running sub-clustering (umap embedding names for subset and regenerated UMAP embeddings of a subset of cells). |
m2 |
character, if type=="umap", then set to the column name of second component ("umap2"). #' Only used when running sub-clustering (umap embedding names for subset and regenerated UMAP embeddings of a subset of cells). |
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