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Biorxiv : the Preprint Server for Biology|November 19, 2025
An Interpretable Deep Learning Framework for Biomarker Discovery in Complex Disease Survival OutcomesShiyu Wan, Xinlei Mi, Fei Zou, et al.The Annals of Applied Statistics|July 16, 2025
A DEEP NEURAL NETWORK TWO-PART MODEL AND FEATURE IMPORTANCE TEST FOR SEMI-CONTINUOUS DATABaiming Zou, Xinlei Mi, Shiyu Wan, et al.Nature Communications|May 22, 2021
Permutation-based identification of important biomarkers for complex diseases via machine learning modelsXinlei Mi, Baiming Zou, Fei Zou, et al.BMC Medical Informatics and Decision Making|April 6, 2023
A deep neural network framework to derive interpretable decision rules for accurate traumatic brain injury identification of infantsBaiming Zou, Xinlei Mi, Elizabeth Stone, et al.Pharmaceutical Statistics|February 23, 2021
On kernel machine learning for propensity score estimation under complex confounding structuresBaiming Zou, Xinlei Mi, Patrick J Tighe, et al.Scientific Reports|January 3, 2025
Drug molecular representations for drug response predictions: a comprehensive investigation via machine learning methodsMeisheng Xiao, Qianhui Zheng, Paul Popa, et al.Biorxiv : the Preprint Server for Biology|April 27, 2026
Revised Deep Learning Semiparametric Regression for Testing and Estimating Treatment Effect Heterogeneity in Observational Studies: A Lung Transplant Case StudyShuai Yuan, Fei Zou, Baiming ZouPlos One|September 28, 2023
An efficient machine learning framework to identify important clinical features associated with pulmonary embolismBaiming Zou, Fei Zou, Jianwen CaiBiorxiv : the Preprint Server for Biology|October 17, 2024
High-dimensional Biomarker Identification for Scalable and Interpretable Disease Prediction via Machine Learning ModelsYifan Dai, Fei Zou, Baiming ZouBiometrics|October 27, 2018
Bagging and deep learning in optimal individualized treatment rulesXinlei Mi, Fei Zou, Ruoqing ZhuPageof 67