runBanksyUMAP | R Documentation |
Run UMAP on a BANKSY embedding.
runBanksyUMAP(
se,
use_agf = FALSE,
lambda = 0.2,
use_pcs = TRUE,
npcs = 20L,
dimred = NULL,
ndims = NULL,
assay_name = NULL,
scale = TRUE,
group = NULL,
n_neighbors = 30L,
spread = 3,
min_dist = 0.1,
n_epochs = 300L,
M = NULL,
seed = NULL,
...
)
se |
A |
use_agf |
A logical vector specifying whether to use the AGF for computing UMAP. |
lambda |
A numeric vector in |
use_pcs |
A logical scalar specifying whether to run UMAP on PCs. If FALSE, runs on the BANKSY matrix. |
npcs |
An integer scalar specifying the number of principal components
to use if |
dimred |
A string scalar specifying the name of an existing
dimensionality reduction result to use. Will overwrite |
ndims |
An integer scalar specifying the number of dimensions to use if
|
assay_name |
A string scalar specifying the name of the assay used in
|
scale |
A logical scalar specifying whether to scale features before UMAP. Only used when use_pcs is FALSE. Defaults to TRUE. |
group |
A string scalar specifying a grouping variable for samples in
|
n_neighbors |
An integer scalar specifying the number of neighbors to use for UMAP. |
spread |
A numeric scalar specifying the effective scale of embedded points. |
min_dist |
A numeric scalar specifying the effective min. dist. between embedded points. |
n_epochs |
An integer scalar specifying the number of epochs to run UMAP optimization. |
M |
Advanced usage. An integer vector specifying the highest azimuthal
Fourier harmonic to use. If specified, overwrites the |
seed |
Seed for UMAP. If not specified, no seed is set. |
... |
parameters to pass to uwot::umap |
This function runs UMAP on the principal components computed on the BANKSY matrix.
A SpatialExperiment / SingleCellExperiment / SummarizedExperiment
object with UMAP coordinates in reducedDims(se)
.
data(rings)
spe <- computeBanksy(rings, assay_name = "counts", M = 1, k_geom = c(15, 30))
spe <- runBanksyPCA(spe, M = 1, lambda = 0.2, npcs = 20)
spe <- runBanksyUMAP(spe, M = 1, lambda = 0.2)
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