15 citations · 49 across the 18 of their papers we have counts for
6 papers · 1 filter
AI-Augmented Statistical Network Estimation with Proxy Gene Embeddings
Yan Chen, Weijing Tang, Jin-Hong Du
Gene--gene networks are often observed only on a restricted target set, while modern biomedical foundation models provide proxy gene embeddings over substantially larger gene unive…
Network-based Neighborhood regression
Yaoming Zhen, Jin-Hong Du
Given the ubiquity of modularity in biological systems, module-level regulation analysis is vital for understanding biological systems across various levels and their dynamics. Cur…
Causal Inference for Genomic Data with Multiple Heterogeneous Outcomes
Jin-Hong Du, Zhenghao Zeng, Edward H. Kennedy +2
With the evolution of single-cell RNA sequencing techniques into a standard approach in genomics, it has become possible to conduct cohort-level causal inferences based on single-c…
Augmented Doubly Robust Post-Imputation Inference for Proteomic Data
Haeun Moon, Jin-Hong Du, Jing Lei +1
Quantitative measurements produced by mass spectrometry proteomics experiments offer a direct way to explore the role of proteins in molecular mechanisms. However, analysis of such…
Simultaneous inference for generalized linear models with unmeasured confounders
Jin-Hong Du, Larry Wasserman, Kathryn Roeder
Tens of thousands of simultaneous hypothesis tests are routinely performed in genomic studies to identify differentially expressed genes. However, due to unmeasured confounders, ma…
Extrapolated cross-validation for randomized ensembles
Jin-Hong Du, Pratik Patil, Kathryn Roeder +1
Ensemble methods such as bagging and random forests are ubiquitous in various fields, from finance to genomics. Despite their prevalence, the question of the efficient tuning of en…