4 papers
Adaptive Sampling of Costly Outcomes in Randomized Clinical Trials
Shuoyang Wang, Wanyu Zhang, Lingli Yang +1
In some randomized trials the primary outcome is costly or slow to measure, while auxiliary variables that predict it are available for everyone. The outcome can then be measured i…
Worst-Case Win Ratios Under Partially Specified Outcome Hierarchies
Kexuan Li, Xue Fan, Lingli Yang
Win statistics require a prespecified outcome hierarchy. Clinical teams sometimes agree only on the highest priority outcome, leaving the order of lower priority outcomes unresolve…
Detection of LUAD-Associated Genes Using Wasserstein Distance in Multi-Omics Feature Selection
Shaofei Zhao, Siming Huang, Kexuan Li +3
Lung adenocarcinoma (LUAD) is characterized by substantial genetic heterogeneity, posing challenges in identifying reliable biomarkers for improved diagnosis and treatment. Tumor M…
Deep Learning for Efficient GWAS Feature Selection
Kexuan Li
Genome-Wide Association Studies (GWAS) face unique challenges in the era of big genomics data, particularly when dealing with ultra-high-dimensional datasets where the number of ge…