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Fig. 2 | BMC Bioinformatics

Fig. 2

From: CERENKOV2: improved detection of functional noncoding SNPs using data-space geometric features

Fig. 2

Distributions of intralocus radii computed using five different distance measures (Canberra, Euclidean, Manhattan, cosine, and Pearson) applied to scaled and unscaled feature data, conditioned on the type of reference SNP (rSNP or cSNP) for the intralocus radius calculation. Results shown are for all OSU18 SNPs (see “The OSU18 reference SNP set” section). Significant differences in the rSNP likelihoods vs. cSNP likelihoods are evident for Canberra, Canberra (scaled), Euclidean (scaled), Manhattan (scaled), cosine, and Pearson methods for computing intralocus radii. Modest differences in rSNP vs. cSNP likelihoods were evident for the cases of Euclidean and Manhattan methods for computing intralocus radii

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