A Prism Vote Framework for Individualized Risk Prediction of Traits in Genome-wide Sequencing Data of Multiple Populations
Xiaoxuan Xia, Rui Sun, Yexian Zhang, Yingying Wei, Qi Li, Ka Chun Chong, William Ka Kei Wu, Benny Chung-Ying Zee, Hua Tang, Maggie Haitian Wang
The paper introduces a Bayesian framework called Prism Vote to improve risk prediction in multi-population genome-wide sequencing data by integrating subpopulation-specific predictors.
bioRxiv · Feb 2, 2022 · PreprintGenetics