activity
20182023
most citedGene-gene interaction analysis incorporating network information via a structured Bayesian approach

1 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

stat.ME2023

Identification of Influencing Factors on Self-reported Count Data with Multiple Potential Inflated Values

Yang Li, Mingcong Wu, Mengyun Wu +1

The Online Chauffeured Service Demand (OCSD) research is an exploratory market study of designated driver services in China. Researchers are interested in the influencing factors o…

stat.ME2021

Two-level Bayesian interaction analysis for survival data incorporating pathway information

Xing Qin, Shuangge Ma, Mengyun Wu

Genetic interactions play an important role in the progression of complex diseases, providing explanation of variations in disease phenotype missed by main genetic effects. Compara…

stat.ME2020★ 1 cited

Gene-gene interaction analysis incorporating network information via a structured Bayesian approach

Xing Qin, Shuangge Ma, Mengyun Wu

Increasing evidence has shown that gene-gene interactions have important effects on biological processes of human diseases. Due to the high dimensionality of genetic measurements,…

stat.ME2019

Multidimensional molecular changes-environment interaction analysis for disease outcomes

Yaqing Xu, Mengyun Wu, Shuangge Ma

For the outcomes and phenotypes of complex diseases, multiple types of molecular (genetic, genomic, epigenetic, etc.) changes, environmental risk factors, and their interactions ha…

stat.ME2018★ 1 cited

Structured gene-environment interaction analysis

Mengyun Wu, Qingzhao Zhang, Shuangge Ma

For the etiology, progression, and treatment of complex diseases, gene-environment (G-E) interactions have important implications beyond the main G and E effects. G-E interaction a…