collapse_to_cluster | R Documentation |
From per-cell calls, take highest freq call in each cluster
collapse_to_cluster(res, metadata, cluster_col, threshold = 0)
res |
dataframe of idents, such as output of cor_to_call |
metadata |
input metadata with tsne or umap coordinates and cluster ids |
cluster_col |
metadata column for cluster |
threshold |
minimum correlation coefficent cutoff for calling clusters |
new metadata with added columns
res <- clustify(
input = pbmc_matrix_small,
metadata = pbmc_meta,
cluster_col = "classified",
ref_mat = cbmc_ref,
per_cell = TRUE
)
res2 <- cor_to_call(res)
collapse_to_cluster(
res2,
metadata = pbmc_meta,
cluster_col = "classified",
threshold = 0
)
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