Estimation of p-values with Two Dimensional Null Distributions from Genomic Data Set

• 발행기관: 한국자료분석학회
• 저자명: Jaeyong Yee Mira Park
• 간행물 정보: 『Journal of The Korean Data Analysis Society (JKDAS)』Vol.20 No.6, 2711~2719쪽, 전체 9쪽
• 주제분류: 자연과학 > 통계학
• 파일형태: PDF
• 발행일자: 2018.12.31

영문 초록

When an observable is described by a single value, the statistic significance may be estimated by construction of null distribution using permutation and counting the portion of it that exceeds the observed value by chance. Genome-wide association study usually focuses on the association measure between a single or interacting genotypes with a single phenotype. However investigation of common genotypes associated simultaneously on multiple phenotypes may involve the observables that should be described with multiple numbers. Statistical significance for such an observable would involve null distribution in multiple dimensions. In this study, extension of the p-value estimation process using null distribution in one dimension has been sought that may be applicable to two dimensional case. Comparison of the position of points within the set of points they form has been proposed to use a positioning parameter inspired by the extension of the Kolmogorov- Smirnov statistic to two dimensions.

목차

1. Introduction

2. Methods

3. Analysis

4. Conclusion

References

키워드

p-values two dimension genomic data null distribution