Di Wu

According to our database, Di Wu authored at least 5 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

A deep learning feature importance test framework for integrating informative high-dimensional biomarkers to improve disease outcome prediction.

Baiming Zou, James G. Xenakis, Meisheng Xiao, Apoena Aguiar Ribeiro, Kimon Divaris, Di Wu, Fei Zou

Briefings Bioinform., January, 2025

High-dimensional biomarker identification for interpretable disease prediction via machine learning models.

Yifan Dai, Di Wu, Ian Carroll, Fei Zou, Baiming Zou

Bioinform., 2025

Decoding longitudinal microbiome trajectories: an interpretable machine learning approach for biomarker discovery and prediction.

Yifan Dai, Yunzhi Qian, Yixiang Qu, Wyliena Guan, Jialiu Xie, Duan Wang, Catherine Butler, Stuart Dashper, Ian Carroll, Kimon Divaris, Yufeng Liu, Di Wu

Briefings Bioinform., 2025

2024

A Novel Compact LLM Framework for Local, High-Privacy EHR Data Applications.

Yixiang Qu, Yifan Dai, Shilin Yu, Pradham Tanikella, Travis Schrank, Trevor Hackman, Didong Li, Di Wu

CoRR, 2024

2023

Comprehensive evaluation of methods for differential expression analysis of metatranscriptomics data.

Hunyong Cho, Yixiang Qu, Chuwen Liu, Boyang Tang, Ruiqi Lyu, Bridget M. Lin, Jeffrey Roach, M. Andrea Azcarate-Peril, Apoena Aguiar Ribeiro, Michael I. Love, Kimon Divaris, Di Wu

Briefings Bioinform., September, 2023