Zobrazeno 1 - 10
of 226
pro vyhledávání: '"Wen, Xiaoquan"'
Autor:
Turfah, Ali, Wen, Xiaoquan
Cluster analysis is a popular unsupervised learning tool used in many disciplines to identify heterogeneous sub-populations within a sample. However, validating cluster analysis results and determining the number of clusters in a data set remains an
Externí odkaz:
http://arxiv.org/abs/2404.15967
The vaccine adverse event reporting system (VAERS) is a vital resource for post-licensure vaccine safety monitoring and has played a key role in assessing the safety of COVID-19 vaccines. However it is difficult to properly identify rare adverse even
Externí odkaz:
http://arxiv.org/abs/2306.02123
Imperfect gold standard gene sets yield inaccurate evaluation of causal gene identification methods.
Autor:
Wang, Lijia1 (AUTHOR), Wen, Xiaoquan1 (AUTHOR) xwen@umich.edu, Morrison, Jean1 (AUTHOR) jvmorr@umich.edu
Publikováno v:
Communications Biology. 7/17/2024, Vol. 7 Issue 1, p1-5. 5p.
Autor:
Zhao, Yi, Wen, Xiaoquan
Assessment of replicability is critical to ensure the quality and rigor of scientific research. In this paper, we discuss inference and modeling principles for replicability assessment. Targeting distinct application scenarios, we propose two types o
Externí odkaz:
http://arxiv.org/abs/2105.03993
Akademický článek
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Autor:
Wen, Xiaoquan
This paper explores the intrinsic connections between the Bayesian false discovery rate (FDR) control procedures and their counterpart of frequentist procedures. We attempt to offer a unified view of FDR control within and beyond the setting of testi
Externí odkaz:
http://arxiv.org/abs/1803.05284
Autor:
Yin, Xianyong, Bose, Debraj, Kwon, Annie, Hanks, Sarah C., Jackson, Anne U., Stringham, Heather M., Welch, Ryan, Oravilahti, Anniina, Fernandes Silva, Lilian, Locke, Adam E., Fuchsberger, Christian, Service, Susan K., Erdos, Michael R., Bonnycastle, Lori L., Kuusisto, Johanna, Stitziel, Nathan O., Hall, Ira M., Morrison, Jean, Ripatti, Samuli, Palotie, Aarno, Freimer, Nelson B., Collins, Francis S., Mohlke, Karen L., Scott, Laura J., Fauman, Eric B., Burant, Charles, Boehnke, Michael, Laakso, Markku, Wen, Xiaoquan
Publikováno v:
In The American Journal of Human Genetics 6 October 2022 109(10):1727-1741
Akademický článek
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Bayesian Model Comparison in Genetic Association Analysis: Linear Mixed Modeling and SNP Set Testing
Autor:
Wen, Xiaoquan
We consider the problems of hypothesis testing and model comparison under a flexible Bayesian linear regression model whose formulation is closely connected with the linear mixed effect model and the parametric models for SNP set analysis in genetic
Externí odkaz:
http://arxiv.org/abs/1404.7197
Autor:
Wen, Xiaoquan
Motivated by the genomic application of expression quantitative trait loci (eQTL) mapping, we propose a new procedure to perform simultaneous testing of multiple hypotheses using Bayes factors as input test statistics. One of the most significant fea
Externí odkaz:
http://arxiv.org/abs/1311.3981