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Calculate clusters for umap based on DE analysis

Usage

find_clusters_de_umap(data = NULL, k = 10)

Arguments

data

tidyseurat object merged with metadata. Must contain columns "Well_ID", "Row", "Column".

k

Number of nearest neighbors in buildSNNGraph used to construct a shared nearest-neighbor (SNN) graph

Value

A tidyseurat object with cluster information in the metadata slot

Examples

data(mini_mac)
mini_mac <- compute_de_umap(mini_mac)
#> Found more than one class "dist" in cache; using the first, from namespace 'BiocGenerics'
#> Also defined by ‘spam’
mini_mac <- find_clusters_de_umap(mini_mac)