run.clustering: Hierarchical clustering of features

In pranithavangala/SeqGL_pv: Group lasso for Dnase/ChIP-seq data

Description

This function performs hierarchical clustering of features based on their correlation

Usage

run.clustering(features, no.groups = 200, no.cores = 1)

Arguments

features	Feature matrix for clustering. Rows are sequences, columns are kmers
no.groups	Number of desired groups
no.cores	Number of cores for parallel processing

Value

List containing groups which show the feature assignments and linkage

See Also

build.train.test.data

pranithavangala/SeqGL_pv documentation built on May 25, 2019, 11:25 a.m.