performHierarchicalClustering = function( enrichment_matrix, feature = "row", distance_method = "correlation", clustering_method = "average" ) {
## To cluster the columns, transpose the enrichment matrix
final_matrix = switch( toupper( feature ),
ROW = enrichment_matrix,
COL = t(enrichment_matrix),
stop( "Invalid feature" )
)
if( toupper( distance_method ) == "CORRELATION" ) {
## Cluster using the hclust function with a distance based on the correlation
hclust( as.dist( 1-abs(cor(t(final_matrix))) ), method = clustering_method )
} else {
## Cluster using the hclust function with a distance based on the dist function
hclust( dist( final_matrix, method = distance_method ), method = clustering_method )
}
}
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