| findSubclusters | R Documentation |
Calculate spatial clusters inside the clusters already identified by gene expression information.
findSubclusters(
object,
assay.type = "ST",
sample.name = "Sample1",
cluster.column = "population",
subcluster.column = "Subpopulation",
method = c("mclust", "dbscan"),
eps = 2,
minPts = 3
)
## S4 method for signature 'CellRouter'
findSubclusters(
object,
assay.type = "ST",
sample.name = "Sample1",
cluster.column = "population",
subcluster.column = "Subpopulation",
method = c("mclust", "dbscan"),
eps = 2,
minPts = 3
)
object |
the CellRouter object. |
assay.type |
character; the type of data to use. |
sample.name |
character; the name of the tissue sample. |
cluster.column |
character; the name of the column where the clustering information is stored. |
subcluster.column |
character; the name of the column where the subclustering information will be stored. |
method |
character; method to perform clustering (mclust or dbscan). |
eps |
numeric; eps parameter for the DBSCAN method. |
minPts |
numeric; minPts parameter for the DBSCAN method. |
the CellRouter object.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.