Multilevel heterogeneous omics data integration with kernel fusion. - Haitao Yang; Hongyan Cao; Tao He; Tong Wang 019; Yuehua Cui (Briefings Bioinform., 2020)

Comparison of methods for the detection of outliers and associated biomarkers in mislabeled omics data. - Hongwei Sun; Yuehua Cui; Hui Wang; Haixia Liu; Tong Wang 019 (BMC Bioinform., 2020)

High-dimensional generalized propensity score with application to omics data. - Qian Gao; Yu Zhang; Jie Liang; Hongwei Sun; Tong Wang 019 (Briefings Bioinform., 2021)

Identifying complex gene-gene interactions: a mixed kernel omnibus testing approach. - Yan Liu; Yuzhao Gao; Ruiling Fang; Hongyan Cao; Jian Sa; Jianrong Wang; Hongqi Liu; Tong Wang 019; Yuehua Cui (Briefings Bioinform., 2021)

Evaluation of propensity score methods for causal inference with high-dimensional covariates. - Qian Gao; Yu Zhang; Hongwei Sun; Tong Wang 019 (Briefings Bioinform., 2022)

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)

A review of SNP heritability estimation methods. - Mingsheng Tang; Tong Wang 019; Xuefen Zhang (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)

A metagene based similarity network fusion approach for multi-omics data integration identified novel subtypes in renal cell carcinoma. - Congcong Jia; Tong Wang 019; Dingtong Cui; Yaxin Tian; Gaiqin Liu; Zhaoyang Xu; Yanhong Luo; Ruiling Fang; Hongmei Yu; Yanbo Zhang; Yuehua Cui; Hongyan Cao (Briefings Bioinform., 2024)

A robust transfer learning approach for high-dimensional linear regression to support integration of multi-source gene expression data. - Lulu Pan; Qian Gao; Kecheng Wei; Yongfu Yu; Guoyou Qin; Tong Wang 019 (PLoS Comput. Biol., 2025)