plot_cluster | R Documentation |
The clustering results can be visualized on a UMAP panel. Three different types of plots can be generated using this function: cluster-by-signature plot, cluster-by-annotation plot, and a single UMAP plot.
plot_cluster(
musica,
model_name,
modality = "SBS96",
result_name = "result",
clusters,
group = "signature",
annotation = NULL,
plotly = TRUE
)
musica |
A |
model_name |
The name of the desired model. |
modality |
The modality of the model. Must be "SBS96", "DBS78", or
"IND83". Default |
result_name |
Name of the result list entry containing desired model.
Default |
clusters |
The result generated from cluster_exposure function. |
group |
A single character string indicating the grouping factor. Possible options are: "signature" (columns are signatures in a grid), "annotation" (columns are sample annotation), and "none" (a single UMAP plot). Default is "signature". |
annotation |
Column name of annotation. |
plotly |
If TRUE, the plot will be made interactive using plotly. |
Generate a ggplot or plotly object.
create_umap
set.seed(123)
data(res_annot)
# Get clustering result
clust_out <- cluster_exposure(
musica = res_annot, model_name = "res_annot",
nclust = 2, iter.max = 15
)
# UMAP
create_umap(musica = res_annot, model_name = "res_annot")
# generate cluster X signature plot
plot_cluster(
musica = res_annot, model_name = "res_annot",
clusters = clust_out, group = "signature"
)
# generate cluster X annotation plot
plot_cluster(
musica = res_annot, model_name = "res_annot",
clusters = clust_out, group = "annotation",
annotation = "Tumor_Subtypes"
)
# generate a single UMAP plot
plot_cluster(
musica = res_annot, model_name = "res_annot",
clusters = clust_out, group = "none"
)
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