View source: R/seuratFunctions.R
runSeuratUMAP | R Documentation |
runSeuratUMAP Computes UMAP from the given sce object and stores the UMAP computations back into the sce object
runSeuratUMAP(
inSCE,
useReduction = c("pca", "ica"),
reducedDimName = "seuratUMAP",
dims = 10,
minDist = 0.3,
nNeighbors = 30L,
spread = 1,
externalReduction = NULL,
seed = 42,
verbose = TRUE
)
inSCE |
(sce) object on which to compute the UMAP |
useReduction |
Reduction to use for computing UMAP. One of "pca" or
"ica". Default is |
reducedDimName |
Name of new reducedDims object containing Seurat UMAP
Default |
dims |
Numerical value of how many reduction components to use for UMAP
computation. Default |
minDist |
Sets the |
nNeighbors |
Sets the |
spread |
Sets the |
externalReduction |
Pass DimReduc object if PCA/ICA computed through
other libraries. Default |
seed |
Random seed for reproducibility of results.
Default |
verbose |
Logical value indicating if informative messages should
be displayed. Default is |
Updated sce object with UMAP computations stored
data(scExample, package = "singleCellTK")
## Not run:
sce <- runSeuratNormalizeData(sce, useAssay = "counts")
sce <- runSeuratFindHVG(sce, useAssay = "counts")
sce <- runSeuratScaleData(sce, useAssay = "counts")
sce <- runSeuratPCA(sce, useAssay = "counts")
sce <- runSeuratFindClusters(sce, useAssay = "counts")
sce <- runSeuratUMAP(sce, useReduction = "pca")
## End(Not run)
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