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False Discovery Rate Control for High Dimensional Networks of Quantile Associations Conditioning on Covariates
Work
Year: 2018
Type: article
Abstract: Motivated by the gene co-expression pattern analysis, we propose a novel sample quantile-based contingency (squac) statistic to infer quantile associations conditioning on covariates. It features enha... more
Source: Journal of the Royal Statistical Society Series B (Statistical Methodology)
Authors Jichun Xie, Ruosha Li
Institutions Duke University, The University of Texas Health Science Center at Houston
Cites: 36
Cited by: 7
Related to: 10
FWCI: 0.723
Citation percentile (by year/subfield): 73.17
Topic: Statistical Methods and Inference
Subfield: Statistics and Probability
Field: Mathematics
Domain: Physical Sciences
Sustainable Development Goal Good health and well-being
Open Access status: green
Funder National Science Foundation
Grant ID 1612965