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Table 6 The preview experiment: Summary of quality measures for the performances of six distances (DSSIM, descriptor, Euclidean, Manhattan, Pearson, approximated information distance) on a dataset of 450 DNA sequences, sampled from the entire genome (10 fragments per chromosome) of H. sapiens and M. musculus

From: An investigation into inter- and intragenomic variations of graphic genomic signatures

 

\(\mathcal {D}_{\alpha }\)

\(\mathcal {A}_{\alpha }\)

\(\mathcal {O}_{\alpha }\)

z-score sum

Rank

DSSIM

0.422

1.000

0.618

3.014

2nd

Descriptor

0.032

0.560

0.063

−3.347

6th

Euclidean

0.079

0.658

0.318

−1.558

4th

Manhattan

0.209

0.969

0.336

0.601

3rd

Pearson

0.531

0.993

0.647

3.643

1st

Approx. Inf.

0.101

0.578

0.195

−2.353

5th

  1. \(\mathcal {D}_{\alpha }\) is the correlation to an idealized cluster, \(\mathcal {A}_{\alpha }\) is the silhouette cluster accuracy, and \(\mathcal {O}_{\alpha }\) is the relative overlap. Higher is better
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BMC Bioinformatics

ISSN: 1471-2105

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