Description Usage Arguments Value Examples
get ranked calls for each cluster
1 2 3 4 5 6 7 8 9 | cor_to_call_rank(
cor_mat,
metadata = NULL,
cluster_col = "cluster",
collapse_to_cluster = FALSE,
threshold = 0,
rename_prefix = NULL,
top_n = NULL
)
|
cor_mat |
input similarity matrix |
metadata |
input metadata with tsne or umap coordinates and cluster ids |
cluster_col |
metadata column, can be cluster or cellid |
collapse_to_cluster |
if a column name is provided, takes the most frequent call of entire cluster to color in plot |
threshold |
minimum correlation coefficent cutoff for calling clusters |
rename_prefix |
prefix to add to type and r column names |
top_n |
the number of ranks to keep, the rest will be set to 100 |
dataframe of cluster, new ident, and r info
1 2 3 4 5 6 7 8 | res <- clustify(
input = pbmc_matrix_small,
metadata = pbmc_meta,
cluster_col = "classified",
ref_mat = cbmc_ref
)
cor_to_call_rank(res, threshold = "auto")
|
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