Chen‐Hsiang Yeang

The paper introduces GIF, a framework to disentangle direct and indirect genotype-phenotype associations using imaging data, showing image features mediate most associations in ADNI data.

The paper develops a probability distribution for rare subclones in cancer and applies it to simulate dynamic precision medicine to improve treatment outcomes despite sequencing limitations.

This study enhances a personalized cancer treatment strategy by incorporating both irreversible and reversible drug resistance mechanisms, showing improved patient outcomes compared to current approaches.

This study uses genetic and geographic data to analyze migration patterns and population structure in the US, revealing substructure and demographic history among different groups.