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Thickness of branches represents multivariate distance between ancestor descendant.
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A multivariate distance measure, the Mahalanobis distance, was calculated between neighboring blocks of profiles as an estimate of the differences in the laminar pattern between these blocks, i.e., differences in cytoarchitecture (Fig. 2f).
Alternatively, the interdependencies between edges can be modeled at the node level using multivariate distance matrix regression (MDMR) [ 61], or across all edges using machine learning methods [ 62- 64].
Individual variables will be used to compute a multivariate distance (Mahalanobis distance).
We also calculated the SFP proteomic distance matrix between populations, as the multivariate Euclidean distance between normalized spot volumes.
Distances between points representing the TFBS matrix families are the multivariate distances of fold-factor overrepresentation of each TFBS family in each of the subtype.
The Mahalanobis distance also has certain advantages over other multivariate distances.
Distance Metrics: In many multivariate algorithms the distance between observations (spectra) is an important part in defining the objective function of the algorithm.
It is a multivariate extension of the Pythagorean distance between two points.
This analysis first employs phylogenetic transformation [ 23] and the transformed data are used to estimate a multivariate evolutionary rate parameter based on the Euclidean distance between each species and the origin of the phylogeny separately for the groups under study.
According to multivariate (Mahalanobis) and univariate analyses (Tables 2 and 3), distance between both pygmy groups, although highly significant, was shorter than the distance between pygmies and non-pygmies but higher than the distance between non-pygmies.
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