hierarchical.clust: Hierarchical clustering from consensus connectivity matrices

In lgl15/cnmtf: Prioritisation of single nucleotide variants using Corrected non-negative matrix tri-factorisation

Description

Function for extracting cluster labels based on hierarchical clustering

Usage

hierarchical.clust(aC, ki, labels, linkF = c("average"))

Arguments

aC	consensus matrix
labels	sample labels
linkF	linkage function ('average','centroid','complete', etc.)
k	rank parameter (number of clusters)
out_filename	exporting label assignment to clusters

Value

res cluster assignment

Author(s)

Luis G. Leal, [e-mail]

See Also

Other Factorisation functions: clus.membership, cnmtf, consensus.clust, initialise.UV, neg.constrain, parameters.cnmtf, plot.parameter, pos.constrain, psvd.init, regression.snps, score.cnmtf, synthetic.gwas

lgl15/cnmtf documentation built on May 28, 2019, 6:33 p.m.