Powerful Spatial Multiple Testing via Borrowing Neighboring Information

L Deng, K He, X Zhang - arXiv preprint arXiv:2210.17121, 2022 - arxiv.org
Clustered effects are often encountered in multiple hypothesis testing of spatial signals. In
this paper, we propose a new method, termed two-dimensional spatial multiple testing (2d …

A general framework for powerful confounder adjustment in omics association studies

A Roy, J Chen, X Zhang - Bioinformatics, 2023 - academic.oup.com
Motivation Genomic data are subject to various sources of confounding, such as
demographic variables, biological heterogeneity, and batch effects. To identify genomic …

[PDF][PDF] SI Additional Experimental Results

L Deng, K He, X Zhang - stat.sinica.edu.tw
in Section 5 of the main paper. Section SI 2 first reports the FDPs and powers under Setup II
with location size m= 900, and then presents the results of location size m= 2000 under …