Article
Pathological imaging-assisted cancer gene-environment interaction analysis.
Biometrics - 1 Dec 2023
Fang Kuangnan, Li Jingmao, Zhang Qingzhao, Xu Yaqing, Ma Shuangge
Abstract excerpt
Gene-environment (G-E) interactions have important implications for cancer outcomes and phenotypes beyond the main G and E effects. Compared to main-effect-only analysis, G-E interaction analysis more seriously suffers from a lack of information caused by higher dimensionality, weaker signals, and other factors. It is also uniquely challenged by the "main effects, interactions" variable selection hierarchy....
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