Note: Asterisk * indicates publications on tenure track. Circle o indicates PI’s students or interns. Dagger † indicates publications as a mentor of PI’s students or interns. PI’s name is bold.
Abdul Rehman Basharat, Xia Ning*, and Xiaowen Liu. EnvCNN: A Convolutional Neural Network Model for Evaluating Isotopic Envelopes in Top-Down Mass-spectral Deconvolution. Analytical Chemistry, May 2020. accepted. [DOI]
Heng-Yi Wu, Aditi Shendre, Shijun Zhang, Pengyue Zhang, Lei Wang, Desta Zeruesenay, Luis M. Rocha, Hagit Shatkay, Sara K. Quinney, Xia Ning*, and Lang Li. Translational knowledge discovery between drug interactions and pharmacogenetics. Clinical Pharmacology & Therapeutics, 2020. accepted. [DOI]
Anqi Zhu, Donglin Zeng, Li Shen, Xia Ning*, Lang Li, and Pengyue Zhang. A super-combo-drug test (supcd-t) to detect adverse drug events and drug interactions from electronic health records in the era of polypharmacy. Statistics in Medicine, 2020. accepted.
Jeffrey A. Skidmore, Lei Xu, Xiuhua Chao, William J. Riggs, Angela Pellittieri, Chloe Vaughan, Xia Ning*, Ruijie Wang, Jianfen Luo, and Shuman He. Prediction of the functional status of the cochlear nerve in individual cochlear implant users using machine learning and electrophysiological measures. Ear and Hearing, 2020. accepted.
Xiaohui Yao, Tiffany Tsang, Qing Sun, Sara Quinney, Pengyue Zhang, Xia Ning*, Lang Li, and Li Shen. Mining and visualizing high-order directional drug interaction effects using the faers database. BMC Medical Informatics and Decision Making, 20(2):1–11, 2020.
Wen-Hao Chiango, Titus Schleyer, Li Shen, Lang Li, and Xia Ning*†. Pattern discovery from high-order drug-drug interaction relations. Journal of Healthcare Informatics Research, 2(3):272–304, Sep 2018. [DOI]
Wen-Hao Chiango, Li Shen, Lang Li, and Xia Ning*†. Drug-drug interaction prediction based on co-medication patterns and graph matching. International Journal of Computational Biology and Drug Design, 2018. in press.
Danai Chasiot, Xiaohui Yao, Pengyue Zhang, Sara K. Quinney, Xia Ning*, Lang Li, and Li Shen. Mining directional drug interaction effects on myopathy using the faers database. Journal of Biomedical and Health Informatics, 2018. preprint.
Junfeng Liuo and Xia Ning*†. Multi-assay-based compound prioritization via assistance utilization: A machine learning framework. Journal of Chemical Information and Modeling, 57(3):484–498, 2017. PMID: 28234477. [DOI]
Chien-Wei Chiang, Pengyue Zhang, Xueying Wang, Lei Wang, Shijun Zhang, Xia Ning*, Li Shen, Sara K. Quinney, and Lang Li. Translational high-dimensional drug interaction discovery and validation using health record databases and pharmacokinetics models. Clinical Pharmacology & Therapeutics, 103(2):287–295, 2017. [DOI]
Xueying Wang, Pengyue Zhang, Chien-Wei Chiang, Hengyi Wu, Li Shen, Xia Ning*, Donglin Zeng, Lei Wang, Sara K. Quinney, Weixing Feng, and Lang Li. Mixture drug-count response model for the high-dimensional drug combinatory effect on myopathy. Statistics in Medicine, 2017. in press. [DOI]
Junfeng Liuo and Xia Ning*†. Differential compound prioritization via bi-directional selectivity push with power. Journal of Chemical Information and Modeling, 57(12):2958–2975, 2017. PMID: 29178784. [DOI]
Fuzhen Zhuang, George Karypis, Xia Ning, Qing He, and Zhongzhi Shi. Multi-view learning via probabilistic latent semantic analysis. Information Sciences, 199:20–30, September 2012. [DOI]
Xia Ning, Michael Walters, and George Karypis. Improved machine learning models for predicting selective compounds. Journal of Chemical Information and Modelling, 52(1):38–50, 2012. [http]
Xia Ning and George Karypis. In silico structure-activity-relationship (SAR) models from machine learning: a review. Drug Development Research, 72(2):138–146, 2011. [DOI]
Xia Ning, Huzefa Rangwala, and George Karypis. Multi-assay-based structure-activity-relationship models: Improving structure-activity-relationship models by incorporating activity information from related targets. Journal of Chemical Information and Modeling, 49(11):2444–2456, 2009. [DOI]