gammaCluster: Perform gamma clustering

In aarkatkar/gelClust: Clustering and pathway analysis using exponential distributions

Perform gamma clustering

Description

Cluster features (such as genes) from the output of gelMatrix under the assumption that inter-cluster associations are obtained from the null, gamma distribution.

Usage

gammaCluster(gm, n, maxiter = 200)

Arguments

gm	a matrix of p-values from the gelMatrix function.
n	the maximum number of clusters to produce.
maxiter	the maximum number of iterations for the algorithm.

Value

labels	a numeric vector of the cluster assigned to each feature.
membership	the n_clusters x n_features membership probability matrix.

Author(s)

Anooj Arkatkar

See Also

gammaTest.

Examples

data(foldChange)
gm <- gelMatrix(foldChange)
clust <- gammaCluster(gm, 7)

aarkatkar/gelClust documentation built on May 6, 2022, 12:24 a.m.