hippo {HIPPO} | R Documentation |
HIPPO's hierarchical clustering
hippo(sce, K = 20, z_threshold = 2, outlier_proportion = 0.001, verbose = TRUE)
sce |
SingleCellExperiment object |
K |
number of clusters to ultimately get |
z_threshold |
numeric > 0 as a z-value threshold for selecting the features |
outlier_proportion |
numeric between 0 and 1, a cut-off so that when the proportion of important features reach this number, the clustering terminates |
verbose |
if set to TRUE, it shows progress of the algorithm |
a list of clustering result for each level of k=1, 2, ... K.
data(toydata) toydata = hippo(toydata,K = 10,z_threshold = 1,outlier_proportion = 0.01)