hippo {HIPPO}R Documentation

HIPPO's hierarchical clustering

Description

HIPPO's hierarchical clustering

Usage

hippo(sce, K = 20, z_threshold = 2, outlier_proportion = 0.001, verbose = TRUE)

Arguments

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

Value

a list of clustering result for each level of k=1, 2, ... K.

Examples

data(toydata)
toydata = hippo(toydata,K = 10,z_threshold = 1,outlier_proportion = 0.01)

[Package HIPPO version 1.2.0 Index]