Efficient Signal Inclusion With Genomic Applications

X. Jessie Jeng, Teng Zhang, Jung Ying Tzeng

研究成果: Article

1 引文 斯高帕斯(Scopus)

摘要

This article addresses the challenge of efficiently capturing a high proportion of true signals for subsequent data analyses when sample sizes are relatively limited with respect to data dimension. We propose the signal missing rate (SMR) as a new measure for false-negative control to account for the variability of false-negative proportion. Novel data-adaptive procedures are developed to control SMR without incurring many unnecessary false positives under dependence. We justify the efficiency and adaptivity of the proposed methods via theory and simulation. The proposed methods are applied to GWAS on human height to effectively remove irrelevant single nucleotide polymorphisms (SNPs) while retaining a high proportion of relevant SNPs for subsequent polygenic analysis. Supplementary materials for this article are available online.

原文English
頁(從 - 到)1787-1799
頁數13
期刊Journal of the American Statistical Association
114
發行號528
DOIs
出版狀態Published - 2019 十月 2

    指紋

All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • Statistics, Probability and Uncertainty

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