This function processes clustering results, plots each cluster, and overlays each cluster's convex hull. It is adaptable to any number of cell_cluster_id.
Usage
violinPlotFeatureCells(
res_tockyrf,
p_adjust_method = "BH",
ncol = 3,
min_cells = 10,
scatter_plot = FALSE
)Arguments
- res_tockyrf
A list object output from `TockyKmeansRF`, which has been further processed using `ClusteringFeatureCells`.
- p_adjust_method
A method for p-value adjustment in multiple testing using Mann Whitney. clusteringFeatureCells cen be used.
- ncol
Number of columns in output figure panel.
- min_cells
Numeric. The minimum nunmber of cells within a cluster to be analysed. The default is 10.
- scatter_plot
Logical. If TRUE, scatter plot for Angle and Intensity is generated.
Examples
if (FALSE) { # \dontrun{
data <- data.frame(Angle = runif(100), Intensity = runif(100))
cell_cluster_id <- dbscan(data, eps = 0.1, minPts = 5)$cluster
violinPlotFeatureCells(data, cell_cluster_id)
} # }