4 papers
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…
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,…
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…
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…