基因组数据假设检验中样本依赖性的计算模型

IF 0.8 4区 物理与天体物理 Q3 PHYSICS, MULTIDISCIPLINARY
Sunhee Kim, Chang-Yong Lee
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引用次数: 0

摘要

统计假设检验假设被分析的样本在统计上是独立的,这意味着一个样本的出现不会影响另一个样本出现的概率。但在现实中,这一假设并不总是成立的。当样本不独立时,在解释假设检验结果时就必须考虑它们之间的相互依赖关系。在本研究中,我们通过引入调整样本量的概念来解决假设检验中的样本依赖性问题。调整后的样本量为检验结果提供了额外的信息,在样本表现出依赖性时尤其有用。为了确定调整后的样本量,我们利用网络理论量化样本依赖性,并将网络密度的方差作为样本量的函数建立模型。我们的方法包括通过分析反映样本依赖程度的网络密度方差来估算调整后的样本量。通过模拟,我们证明了与独立样本相比,依赖样本会产生更高的网络密度方差,从而验证了我们估算调整后样本量的方法。此外,我们还将提出的方法应用于基因组数据集,估算调整后的样本量,以便在假设检验中有效地考虑样本依赖性。这为解释测试结果提供了指导,并确保了更准确的数据分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

A computational model for sample dependence in hypothesis testing of genome data

A computational model for sample dependence in hypothesis testing of genome data

A computational model for sample dependence in hypothesis testing of genome data

Statistical hypothesis testing assumes that the samples being analyzed are statistically independent, meaning that the occurrence of one sample does not affect the probability of the occurrence of another. In reality, however, this assumption may not always hold. When samples are not independent, it is important to consider their interdependence when interpreting the results of the hypothesis test. In this study, we address the issue of sample dependence in hypothesis testing by introducing the concept of adjusted sample size. This adjusted sample size provides additional information about the test results, which is particularly useful when samples exhibit dependence. To determine the adjusted sample size, we use the theory of networks to quantify sample dependence and model the variance of network density as a function of sample size. Our approach involves estimating the adjusted sample size by analyzing the variance of the network density, which reflects the degree of sample dependence. Through simulations, we demonstrate that dependent samples yield a higher variance in network density compared to independent samples, validating our method for estimating the adjusted sample size. Furthermore, we apply our proposed method to genomic datasets, estimating the adjusted sample size to effectively account for sample dependence in hypothesis testing. This guides interpreting test results and ensures more accurate data analysis.

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来源期刊
Journal of the Korean Physical Society
Journal of the Korean Physical Society PHYSICS, MULTIDISCIPLINARY-
CiteScore
1.20
自引率
16.70%
发文量
276
审稿时长
5.5 months
期刊介绍: The Journal of the Korean Physical Society (JKPS) covers all fields of physics spanning from statistical physics and condensed matter physics to particle physics. The manuscript to be published in JKPS is required to hold the originality, significance, and recent completeness. The journal is composed of Full paper, Letters, and Brief sections. In addition, featured articles with outstanding results are selected by the Editorial board and introduced in the online version. For emphasis on aspect of international journal, several world-distinguished researchers join the Editorial board. High quality of papers may be express-published when it is recommended or requested.
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