Computes distances between the columns of an expression matrix using the specified distance measure.
clust.dist(mat, meth.dis="euclidean")Expression matrix, genes on rows and samples on columns
Character string specifying the distance measure to be used. This must be one of 'euclidean', 'manhattan', 'pearson', 'pearsonabs', 'spearman', 'spearmanabs', 'jaccard', 'dice'
A distance matrix.
'euclidean' : Usual square distance between the two vectors.
'manhattan' : Absolute distance between the two vectors
'pearson' : Pearson correlation distance. (1 - r)/2
'pearsonabs' : Absolute Pearson correlation distance. 1 - abs(r)
'spearman' : Spearman rank correlation distance. (1 - r)/2
'spearmanabs' : Absolute Spearlan rnak correlation distance. 1 - abs(r)
'jaccard' : Jaccard distance on 0-1 matrix
'dice': Dice distance on 0-1 matrix