An Application of the Bipolar Metric Space Structure for Missing Data Imputation in Ligand–Target Interactions

Utku Gürdal; Selim Çetin; Reha Yapalı

doi:10.47000/tjmcs.1834256

An Application of the Bipolar Metric Space Structure for Missing Data Imputation in Ligand–Target Interactions

Abstract

In this study, the bipolar metric space structure is tested on a real dataset for the first time. In this context, ligand–target interaction scores are examined and transformed into a form compatible with the bipolar metric function, an incomplete-data scenario is evaluated, and in addition, the closest pairs of the same type are identified and the resulting findings are analyzed. The model is also applied to provide theoretical estimations for some missing entries in the dataset. By emphasizing that the proposed method can be tested under various topics in both the natural sciences and the humanities, the study thus presents a pioneering example in this direction.

Keywords

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Details

Primary Language

English

Subjects

Operator Algebras and Functional Analysis

Journal Section

Research Article

Authors

Utku Gürdal ^*
0000-0003-2887-2188
Türkiye

Selim Çetin
0000-0002-9017-1465
Türkiye

Reha Yapalı
0000-0003-0665-9087
Türkiye

Publication Date

October 13, 2026

Submission Date

December 2, 2025

Acceptance Date

April 26, 2026

Published in Issue

Year 2026 Volume: 18 Number: 3

DOI

https://doi.org/10.47000/tjmcs.1834256

IZ

https://izlik.org/JA36HW46GC

Cite

RIS / Bibtex

APA

Gürdal, U., Çetin, S., & Yapalı, R. (2026). An Application of the Bipolar Metric Space Structure for Missing Data Imputation in Ligand–Target Interactions. Turkish Journal of Mathematics and Computer Science, 18(3), 918-925. https://doi.org/10.47000/tjmcs.1834256

AMA

1.Gürdal U, Çetin S, Yapalı R. An Application of the Bipolar Metric Space Structure for Missing Data Imputation in Ligand–Target Interactions. TJMCS. 2026;18(3):918-925. doi:10.47000/tjmcs.1834256

Chicago

Gürdal, Utku, Selim Çetin, and Reha Yapalı. 2026. “An Application of the Bipolar Metric Space Structure for Missing Data Imputation in Ligand–Target Interactions”. Turkish Journal of Mathematics and Computer Science 18 (3): 918-25. https://doi.org/10.47000/tjmcs.1834256.

EndNote

Gürdal U, Çetin S, Yapalı R (October 1, 2026) An Application of the Bipolar Metric Space Structure for Missing Data Imputation in Ligand–Target Interactions. Turkish Journal of Mathematics and Computer Science 18 3 918–925.

IEEE

[1]U. Gürdal, S. Çetin, and R. Yapalı, “An Application of the Bipolar Metric Space Structure for Missing Data Imputation in Ligand–Target Interactions”, TJMCS, vol. 18, no. 3, pp. 918–925, Oct. 2026, doi: 10.47000/tjmcs.1834256.

ISNAD

Gürdal, Utku - Çetin, Selim - Yapalı, Reha. “An Application of the Bipolar Metric Space Structure for Missing Data Imputation in Ligand–Target Interactions”. Turkish Journal of Mathematics and Computer Science 18/3 (October 1, 2026): 918-925. https://doi.org/10.47000/tjmcs.1834256.

JAMA

1.Gürdal U, Çetin S, Yapalı R. An Application of the Bipolar Metric Space Structure for Missing Data Imputation in Ligand–Target Interactions. TJMCS. 2026;18:918–925.

MLA

Gürdal, Utku, et al. “An Application of the Bipolar Metric Space Structure for Missing Data Imputation in Ligand–Target Interactions”. Turkish Journal of Mathematics and Computer Science, vol. 18, no. 3, Oct. 2026, pp. 918-25, doi:10.47000/tjmcs.1834256.

Vancouver

1.Utku Gürdal, Selim Çetin, Reha Yapalı. An Application of the Bipolar Metric Space Structure for Missing Data Imputation in Ligand–Target Interactions. TJMCS. 2026 Oct. 1;18(3):918-25. doi:10.47000/tjmcs.1834256