(* Corresponding author, # Co-first author)
Chen H, Ji J*, Liu D*, Yu B. Unsupervised Sparse Multi-Task Learning With Application to Alzheimer's Disease. Statistics in Medicine. 2026, 45(8-9):e70526.
Zhao Y, Shen L, Yan R, Liu L, Guo P, Liu S, Chen Y, Yuan Z, Gong W*, Ji J*. Identification of Candidate Lung Function-Related Plasma Proteins to Pinpoint Drug Targets for Common Pulmonary Diseases: A Comprehensive Multi-Omics Integration Analysis. Curr Issues Mol Biol. 2025, 47(3):167.
Zhang L, Liu L, Ji J, Yan R, Guo P, Gong W, Xue F, Zhou X, Yuan Z. Efficient Mendelian randomization analysis with self-adaptive determination of sample structure and multiple pleiotropic effects. American Journal of Human Genetics. 2025, 112(8):1962-1978.
Ji J, Hou Z, He Y, Liu L, Xue F, Chen H, Yuan Z. Differential network knockoff filter with application to brain connectivity analysis. Statistics in Medicine. 2024, 43(20):3830-3861.
Liu L, Yan R, Guo P, Ji J, Gong W, Xue F, Yuan Z, Zhou X. Conditional transcriptome-wide association study for fine-mapping candidate causal genes. Nature Genetics. 2024, 56(2):348-356.
Liu X, Yuan J, Zhou H, Wang Y, Tian G, Liu X, Wang X, Tang M, Meng X, Kou C, Yang Q, Li J, Zhang L, Ji J*, Zhang H*. Association between systemic lupus erythematosus and primary hypothyroidism: evidence from complementary genetic methods. Journal of Clinical Endocrinology & Metabolism. 2023, 108(4):941-949.
Liu L, Yang F, Fan Y, Kao C, Wang F, Yu L, He Y, Ji J*, Yu Z*. An Improved Training Algorithm Based on Ensemble Penalized Cox Regression for Predicting Absolute Cancer Risk. China CDC Weekly. 2023, 5(9):206.
Han J, Zhang L, Yan R, Ju T, Jin X, Wang S, Yuan Z, Ji J*. CoNet: Efficient Network Regression for Survival Analysis in Transcriptome-Wide Association Studies—With Applications to Studies of Breast Cancer. Genes. 2023,14(3):586.
Zhang L, Ju T, Jin X, Ji J, Han J, Zhou X, Yuan Z. Network regression analysis for binary and ordinal categorical phenotypes in transcriptome-wide association studies. Genetics. 2022, 222(4):iyac153.
Liu L, Zhai W, Wang F, Yu L, Zhou F, Xiang Y, Huang S, Zheng C, Yuan Z, He Y, Yu Z*, Ji J*. Using machine learning to identify gene interaction networks associated with breast cancer. BMC cancer. 2022, 22(1):1070.
Fan Y, Kao C, Yang F, Wang F, Yin G, Wang Y, He Y, Ji J*, Liu L*. Integrated Multi-Omics Analysis Model to Identify Biomarkers Associated With Prognosis of Breast Cancer. Frontiers in oncology. 2022, 12.
Chen H#, Guo Y, He Y, Ji J#, Liu L, Shi Y, Wang Y, Yu L, Zhang X. Simultaneous Differential Network Analysis and Classification for Matrix-variate Data with application to Brain Connectivity. Biostatistics. 2022, 23(3)3: 967-989. R package "SDNCMV".
Ji J, He Y, Xie L, Liu L. Brain Connectivity Alternation Detection via Matrix-variate Differential Network Model. Biometrics. 2021, 77:1409-1421. R package "MVDN" available at https://github.com/jijiadong/MVDN.
He Y, Chen H, Sun H, Ji J*, Shi Y*, Zhang X, Liu L. High-dimensional Integrative Copula Discriminant Analysis for Multi-omics Data. Statistics in Medicine. 2020, 39(30): 4869-4884.
Lin W#, Ji J#, Zhu Y, Li M, Zhao J, Xue F, Yuan Z. PMINR: pointwise mutual information-based network regression – with application to studies of lung cancer and Alzheimer’s disease. Frontiers in genetics. 2020, 11:556259.
Zhu Y#, Ji J#, Lin W, Li M, Liu L, Zhu H, Xue F, Li X, Zhou X, Yuan Z. MCC-SP: a powerful integration method for identification of causal pathways from genetic variants to complex disease. BMC Genetics. 2020, 21:90.
He Y, Sun H, Ji J*, Zhang X. Robust Feature Screening for Multi-response Trans-elliptical Regression Model with Ultrahigh-dimensional Covariates. Random Matrices: Theory and Applications. 2020, 9(4), 2150001.
Chen H, He Y, Ji J, Shi Y. The sparse group lasso for high-dimensional integrative linear discriminant analysis with application to alzheimer’s disease prediction. Journal of statistical computation and simulation. 2020. 90(17): 3218-3231.
Gao N, Xu W, Ji J, Yang Y, Meng S, Tian X, Xu K. Lung function and systemic inflammation associated with short-term air pollution exposure among COPD patients in Beijing, China. Environmental Health. 2020,19:12.
Liu Y, Du Z, Ji J, Li J, Bi D, Tang F. Bidirectional association between serum carcinoembryonic antigen and metabolic syndrome among the Chinese male population: two cohort studies. Lipids in Health and Disease. 2020,19(1):233.
He Y, Zhang L, Ji J*, Zhang X. Robust feature screening for elliptical copula regression model. Journal of Multivariate Analysis. 2019, 173: 568-582.
Chen H, He Y, Ji J*, Shi Y*. A Machine Learning Method for Identifying Critical Interactions Between Gene Pairs in Alzheimer's Disease Prediction. Frontiers in Neurology. 2019, 10:1162.
Zhang X, Tang F, Ji J, Han W, Lu P. Risk Prediction of Dyslipidemia for Chinese Han Adults Using Random Forest Survival Model. Clinical Epidemiology. 2019, 14: 1047–1055.
Gao N, Li C, Ji J, Yang Y, Wang S, Tian X, Xu KF. Short-term effects of ambient air pollution on chronic obstructive pulmonary disease admissions in Beijing, China (2013-2017). International Journal of Chronic Obstructive. 2019; 14: 297–309.
He Y, Ji J*, Xie L, Zhang X, Xue F. A new insight into underlying disease mechanism through semi-parametric latent differential network model. BMC bioinformatics. 2018, 19(17): 493.
Gao N, Zhang T, Ji J, Xu K, Tian X. The efficacy and adverse events of mTOR inhibitors in lymphangioleiomyomatosis: systematic review and meta-analysis. Orphanet Journal of Rare Diseases. 2018, 13:134.
Ji J, He D, Feng Y, He Y, Xue F, Xie L. JDINAC: joint density-based non-parametric differential interaction network analysis and classification using high-dimensional sparse omics data. Bioinformatics. 2017, 33(19):3080-3087. R code available at https://github.com/jijiadong/JDINAC.
He Y, Zhang X, Ji J, Liu B. Joint Estimation of Multiple High Dimensional Gaussian Copula Graphical Models. Australian & New Zealand Journal of Statistics. 2017, 59(3):289-310.
Ji J#, Yuan Z#, Zhang X, Xue F. A powerful score-based statistical test for group difference in weighted biological networks. BMC bioinformatics. 2016, 17: 86.
Yuan Z#, Ji J#, Zhang X, Xu J, Ma D, Xue F. A powerful weighted statistic for detecting group differences of directed biological networks. Scientific Reports. 2016, 6: 34159.
Yuan Z, Ji J, Zhang T, Liu Y, Zhang X, Chen W, Xue F. A novel chi-square statistic for detecting group differences between pathways in systems epidemiology. Statistics in Medicine. 2016, 35(29): 5512-5524.
Dider S, Ji J, Zhao Z, Xie L. Molecular Mechanisms Involved in the Side Effects of Fatty Acid Amide Hydrolase Inhibitors: A Structural Phenomics Approach to Proteome-wide Cellular Off-target Deconvolution and Disease Association. npj Systems Biology and Applications. 2016, 2:16023.
Xu J, Yuan Z, Ji J, Zhang X, Li H, Wu X, Xue F, Liu Y. A powerful score-based test statistic for detecting gene-gene co-association. BMC genetics. 2016, 17: 31.
Zhang X, Yuan Z, Ji J, Li H, Xue F. Network or regression-based methods for disease discrimination: a comparison study. BMC Medical Research Methodology. 2016, 16(1): 100.
Li H, Yuan Z, Ji J, Xu J, Zhang T, Zhang X, Xue F. A novel Markov Blanket-based repeated-fishing strategy for capturing phenotype-related biomarkers in big omics data. BMC genetics. 2016, 17: 51.
Gao N, Yuan Z, Tang X, Zhou X, Zhao M, Liu L, Ji J, Xue F, Ning G, Zhao J, Zhang H, Gao L. Prevalence of CHD-related metabolic comorbidity of diabetes mellitus in Northern Chinese adults: the REACTION study. J Diabetes Complications. 2016. 30(2): 199-205.
Gao N, Yu Y, Zhang B, Yuan Z, Zhang H, Song Y, Zhao M, Ji J, Liu L, Xu C, Zhao J. Dyslipidemia in rural areas of North China: prevalence, characteristics, and predictive value. Lipids in Health and Disease. 2016, 15:154.
Ji J, Yuan Z, Zhang X, Li F, Xu J, Liu Y, Li H, Wang J, Xue F. Detection for pathway effect contributing to disease in systems epidemiology with a case–control design. BMJ Open. 2015, 5(1): e006721.
Li F, Zhao J, Yuan Z, Zhang X, Ji J, Xue F. A powerful latent variable method for detecting and characterizing gene-based gene-gene interaction on multiple quantitative traits. BMC genetics. 2013, 14(1): 89.