A comparative analysis of proximity measures to determine the Lithuanian population structure
Articles
Alma Molytė
Vilnius TECH
https://orcid.org/0000-0003-4598-9695
Alina Urnikytė
Vilnius University
https://orcid.org/0000-0002-0764-0946
Published 2021-12-20
https://doi.org/10.15388/LMR.2021.25232
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Keywords

genetic data
proximity measure
population structure

How to Cite

Molytė A. and Urnikytė A. (2021) “A comparative analysis of proximity measures to determine the Lithuanian population structure”, Lietuvos matematikos rinkinys, 62(B), pp. 86-93. doi: 10.15388/LMR.2021.25232.

Abstract

In this paper the multidimensional scaling, the principal coordinate and principal component methods for the Lithuanian population structure have investigated, taken that the proximity measures are Euclid, Gower,
Bray-Curtis, Kulczynski, Jaccard and Morisita. The genome-wide single nucleotide polymorphism genetic data analyzed. A comparative analysis of proximity measures performed. The results of visualization are also presented.

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