Title: Spearman dependence function-based goodness-of-fit test for the gene's relation

Authors: Selim Orhun Susam; Burcu Hudaverdi

Addresses: Department of Econometrics, Munzur University, Tunceli, Turkey ' Department of Statistics, Dokuz Eylul University, Izmir, Turkey

Abstract: A gene network represents the relationship between different groups of genes with various functions, aiming to depict how genes collaborate and influence each other's activities within a biological system. This relationship can be effectively explained using copulas. Therefore, it is crucial to determine which copula best fits the gene data and provide the most accurate explanation of the relationships between gene groups. In this study, our objective is to introduce a Spearman dependence function-based goodness-of-fit test using Bernstein polynomial approximation. We apply this test to identify a copula model that can effectively explain the relationships between gene groups. A Monte Carlo simulation study is conducted to assess the performance of the proposed test. Next, we analyse histone gene groups using data from yeast cell regulation, as provided by Eisen et al. (1998). Specifically, we investigate the dependence model structures of gene interactions for eight histone genes.

Keywords: Spearman dependence; copula goodness-of-fit test; Bernstein copula; histone genes.

DOI: 10.1504/IJDMB.2025.142968

International Journal of Data Mining and Bioinformatics, 2025 Vol.29 No.1/2, pp.36 - 50

Received: 12 May 2023
Accepted: 26 Oct 2023
Published online: 02 Dec 2024 *

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