plot_cor_heatmap: Plot similarity measures on heatmap

In NCBI-Hackathons/RClusterCT: Classifier for Single-cell RNA-seq Using Cell Clusters

Plot similarity measures on heatmap

Description

Plot similarity measures on heatmap

Usage

plot_cor_heatmap(
  cor_mat,
  metadata = NULL,
  cluster_col = NULL,
  col = not_pretty_palette,
  legend_title = NULL,
  ...
)

Arguments

cor_mat	input similarity matrix
metadata	input metadata with per cell tsne or umap cooordinates and cluster ids
cluster_col	colname of clustering data in metadata, defaults to rownames of the metadata if not supplied.
col	color ramp to use
legend_title	legend title to pass to Heatmap
...	passed to Heatmap

Value

complexheatmap object

Examples

res <- clustify(
    input = pbmc_matrix_small,
    metadata = pbmc_meta,
    ref_mat = cbmc_ref,
    query_genes = pbmc_vargenes,
    cluster_col = "classified",
    per_cell = FALSE
)

plot_cor_heatmap(res)

NCBI-Hackathons/RClusterCT documentation built on Aug. 30, 2024, 2:05 a.m.