hippo_umap_plot: visualize each round of hippo through UMAP

In tk382/HIPPO: Heterogeneity-Induced Pre-Processing tOol

Description

visualize each round of hippo through UMAP

Usage

hippo_umap_plot(sce, k = NA, pointsize = 0.5, pointalpha = 0.5, plottitle = "")

Arguments

sce	SingleCellExperiment object with hippo and UMAP result in it
k	number of rounds of clustering that you'd like to see result. Default is 1 to K
pointsize	size of the point for the plot (default 0.5)
pointalpha	transparency level of points for the plot (default 0.5)
plottitle	title of the resulting plot

Value

ggplot object for umap in each round

Examples

data(toydata)
set.seed(20200505)
toydata = hippo(toydata,
          feature_method = "zero_inflation",
          clustering_method = "kmeans",
          K = 4,
          outlier_proportion = 0.00001)
toydata = hippo_dimension_reduction(toydata, method="umap")
hippo_umap_plot(toydata)

tk382/HIPPO documentation built on Aug. 17, 2021, 2:29 p.m.