A generalized association test based on U statistics. - Changshuai Wei; Qing Lu 004 (Bioinform., 2017)

Multi-kernel linear mixed model with adaptive lasso for prediction analysis on high-dimensional multi-omics data. - Jun Li; Qing Lu 004; Yalu Wen (Bioinform., 2020)

Probability calibration-based prediction of recurrence rate in patients with diffuse large B-cell lymphoma. - Shuanglong Fan; Zhiqiang Zhao; Yanbo Zhang; Hongmei Yu; ChuChu Zheng; XueQian Huang; Zhenhuan Yang; Meng Xing; Qing Lu 004; Yanhong Luo (BioData Min., 2021)

Applying probability calibration to ensemble methods to predict 2-year mortality in patients with DLBCL. - Shuanglong Fan; Zhiqiang Zhao; Hongmei Yu; Lei Wang; ChuChu Zheng; XueQian Huang; Zhenhuan Yang; Meng Xing; Qing Lu 004; Yanhong Luo (BMC Medical Informatics Decis. Mak., 2021)

Fast heritability estimation based on MINQUE and batch training. - Mingsheng Tang; Tingting Hou; Xiaoran Tong; Xiaoxi Shen; Xuefen Zhang; Tong Wang 019; Qing Lu 004 (Briefings Bioinform., 2022)

Explainable deep transfer learning model for disease risk prediction using high-dimensional genomic data. - Long Liu; Qingyu Meng; Cherry Weng; Qing Lu 004; Tong Wang 019; Yalu Wen (PLoS Comput. Biol., 2022)

Neural-network transformation models for counting processes. - Rongzi Liu; Chenxi Li; Qing Lu 004 (Stat. Anal. Data Min., 2022)

Expectile Neural Networks for Genetic Data Analysis of Complex Diseases. - Jinghang Lin; Xiaoran Tong; Chenxi Li; Qing Lu 004 (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

Multimodal functional deep learning for multiomics data. - Yuan Zhou; Pei Geng; Shan Zhang; Feifei Xiao; Guoshuai Cai; Li Chen; Qing Lu 004 (Briefings Bioinform., 2024)

Functional Neural Networks for High-Dimensional Genetic Data Analysis. - Shan Zhang; Yuan Zhou; Pei Geng; Qing Lu 004 (IEEE ACM Trans. Comput. Biol. Bioinform., 2024)

A multi-locus predictiveness curve and its summary assessment for genetic risk prediction. - Changshuai Wei; Ming Li; Yalu Wen; Chengyin Ye; Qing Lu 004 (CoRR, 2025)