4 papers
Synthetic Data Generation With Incomplete Survey Data Under Informative Sampling
Ayat Almomani, Won Chang, Youngdeok Hwang +2
We propose a Bayesian framework for data synthesis and imputation in complex survey settings with informative sampling. To address variance underestimation in existing Bayesian app…
graph-GPA 2.0: A Graphical Model for Multi-disease Analysis of GWAS Results with Integration of Functional Annotation Data
Qiaolan Deng, Jin Hyun Nam, Ayse Selen Yilmaz +5
Genome-wide association studies (GWAS) have successfully identified a large number of genetic variants associated with traits and diseases. However, it still remains challenging to…
Bayesian Model Calibration and Sensitivity Analysis for Oscillating Biological Experiments
Youngdeok Hwang, Hang J. Kim, Won Chang +2
Understanding the oscillating behaviors that govern organisms' internal biological processes requires interdisciplinary efforts combining both biological and computer experiments,…
GPA-Tree: Statistical Approach for Functional-Annotation-Tree-Guided Prioritization of GWAS Results
Aastha Khatiwada, Bethany J. Wolf, Ayse Selen Yilmaz +6
Motivation: In spite of great success of genome-wide association studies (GWAS), multiple challenges still remain. First, complex traits are often associated with many single nucle…