Automation of Dice (Czekanowski-Sørensen) similarity index calculations in phyсological research

Authors

Bren O.G.1*, Bren O.A.2, Solonenko A.M.2, Podorozhnyi S.M.2
1 Institute of Botany, Czech Academy of Sciences, 135 Dukelská Str., Třeboň 37901, Czech Republic
2 Bohdan Khmelnytskyi Melitopol State Pedagogical University, Department of botany and horticulture, 59 Naukovoho mistechka Str., Zaporizhzhya 69000, Ukraine
* oscillat8@gmail.com

Section:

Procedure

Issue:

Vol. 34 No. 1 (2024)

Pages:

80-90

DOI:

https://doi.org/10.15407/alg34.01.080

Abstract

This paper examines the trends in the use of the Dice (Czekanowski-Sørensen) similarity index in studies of algae and cyanoprokaryotes. A concise overview of the characteristics of this metric is provided, considering its positive aspects and limitations. The relevance of the work is justified by the researchers' need for automation of Dice index calculations and the construction of resulting matrices. The article proposes a method for automating calculations using macros in the Excel environment. The authors provide an overview of the possibilities of this approach and offer their own macro for fast and convenient calculation of the Dice index without the need for third-party programs or formulas.

Keywords:

algae, cyanoprokaryotes, similarity measure, Dice (Czekanowski-Sørensen) index

Full text

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Citation

Bren O.G., Bren O.A., Solonenko A.M., Podorozhnyi S.M. 2024. Automation of Dice (Czekanowski-Sørensen) similarity index calculations in phyсological research. Algologia. 34(1): 80-90. https://doi.org/10.15407/alg34.01.080