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Author

Shao-Hsuan Wang

2 papers indexed here

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Open access Sep 2026

FM-GPT: Bayesian fine mapping for phenome-wide transcriptome-wide association studies

Transcriptome-wide association studies (TWAS) integrate genome wide association studies with expression quantitative trait locus reference panels to identify genes associated with traits of interest. However, linkage disequilibrium and correlated gene expression can induce spurious TWAS signals, motivating fine mapping...

T. Canida, Zhen-Yao Ye, Shao-Hsuan Wang et al. · 0 citations
Aug 2026

A Bayesian Sparse Kronecker Product Decomposition Framework for Tensor Predictors With Mixed‐Type Responses: Applications to Neuroimaging Data Mining

High‐dimensional tensor‐valued predictors are now routine in neuroimaging and other data‐rich domains, yet few statistical frameworks can jointly analyze continuous, binary, and count outcomes while scaling to realistic image resolutions. We propose the Bayesian sparse Kronecker product decomposition (BSKPD), whi...

Shao-Hsuan Wang, Hsin-Hsiung Huang · 0 citations

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