Consensus {FEAST}R Documentation

Consensus Clustering

Description

Consensus Clustering

Usage

Consensus(Y, num_pcs = 10, top_pctg = 0.33, k = 2, thred = 0.9)

Arguments

Y

A expression matrix. It is recommended to use the raw count matrix.

num_pcs

The number of top pcs that will be investigated on through consensus clustering.

top_pctg

Top percentage of features for dimension reduction

k

The number of input clusters (best guess).

thred

For the final GMM clustering, the probability of a cell belonging to a certain cluster.

Value

the clustering labels and the featured genes.

Examples

data(Yan)
set.seed(123)
rixs = sample(nrow(Y), 500)
cixs = sample(ncol(Y), 40)
Y = Y[rixs, cixs]
con = Consensus(Y, k=5)

[Package FEAST version 1.0.0 Index]