View source: R/Seurat-function.R
RunDM | R Documentation |
Run DM (diffusion map)
RunDM(object, ...)
## S3 method for class 'Seurat'
RunDM(
object,
reduction = "pca",
dims = 1:30,
features = NULL,
assay = NULL,
slot = "data",
ndcs = 2,
sigma = "local",
k = 30,
dist.method = "euclidean",
reduction.name = "dm",
reduction.key = "DM_",
verbose = TRUE,
seed.use = 11,
...
)
## Default S3 method:
RunDM(
object,
assay = NULL,
slot = "data",
ndcs = 2,
sigma = "local",
k = 30,
dist.method = "euclidean",
reduction.key = "DM_",
verbose = TRUE,
seed.use = 11,
...
)
object |
An object. This can be a Seurat object or a matrix-like object. |
... |
Additional arguments to be passed to the DiffusionMap function. |
reduction |
A character string specifying the reduction to be used. |
dims |
An integer vector specifying the dimensions to be used. Default is 1:30. |
features |
A character vector specifying the features to be used. Default is NULL. |
assay |
A character string specifying the assay to be used. Default is NULL. |
slot |
A character string specifying the slot name to be used. Default is "data". |
ndcs |
An integer specifying the number of diffusion components (dimensions) to be computed. Default is 2. |
sigma |
A character string specifying the diffusion scale parameter of the Gaussian kernel. Currently supported values are "local" (default) and "global". |
k |
An integer specifying the number of nearest neighbors to be used for the construction of the graph. Default is 30. |
dist.method |
A character string specifying the distance metric to be used for the construction of the knn graph. Currently supported values are "euclidean" and "cosine". Default is "euclidean". |
reduction.name |
A character string specifying the name of the reduction to be stored in the Seurat object. Default is "dm". |
reduction.key |
A character string specifying the prefix for the column names of the basis vectors. Default is "DM_". |
verbose |
A logical value indicating whether to print verbose output. Default is TRUE. |
seed.use |
An integer specifying the random seed to be used. Default is 11. |
pancreas_sub <- Seurat::FindVariableFeatures(pancreas_sub)
pancreas_sub <- RunDM(object = pancreas_sub, features = Seurat::VariableFeatures(pancreas_sub))
CellDimPlot(pancreas_sub, group.by = "CellType", reduction = "dm")
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.