Move outliers towards center on dimension reduction plot
Move outliers towards center on dimension reduction plot
CollapseEmbeddingOutliers( object, reduction = "umap", dims = 1:2, group.by = "ident", outlier.sd = 2, reduction.key = "UMAP_" )
object |
Seurat object |
reduction |
Name of DimReduc to adjust |
dims |
Dimensions to visualize |
group.by |
Group (color) cells in different ways (for example, orig.ident) |
outlier.sd |
Controls the outlier distance |
reduction.key |
Key for DimReduc that is returned |
Returns a DimReduc object with the modified embeddings
## Not run:
data("pbmc_small")
pbmc_small <- FindClusters(pbmc_small, resolution = 1.1)
pbmc_small <- RunUMAP(pbmc_small, dims = 1:5)
DimPlot(pbmc_small, reduction = "umap")
pbmc_small[["umap_new"]] <- CollapseEmbeddingOutliers(pbmc_small,
reduction = "umap", reduction.key = 'umap_', outlier.sd = 0.5)
DimPlot(pbmc_small, reduction = "umap_new")
## End(Not run)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.