Local cell metrics: a novel method for analysis of cell-cell interactions. - Jing Su 003; Pedro J. Zapata; Chien-Chiang Chen; J. Carson Meredith (BMC Bioinform., 2009)

Characterization of p38 MAPK isoforms for drug resistance study using systems biology approach. - Huiming Peng; Tao Peng; Jianguo Wen; David A. Engler; Risë K. Matsunami; Jing Su 003; Le Zhang 004; Chung-Che Jeff Chang; Xiaobo Zhou 001 (Bioinform., 2014)

Multiscale agent-based modelling of ovarian cancer progression under the stimulation of the STAT 3 pathway. - Le Zhang 004; Yao Xue; Beini Jiang; Costas G. Strouthos; Zhenfeng Duan; Yukun Wu; Jing Su 003; Xiaobo Zhou 001 (Int. J. Data Min. Bioinform., 2014)

Modeling Cell-Cell Interactions in Regulating Multiple Myeloma Initiating Cell Fate. - Tao Peng; Huiming Peng; Dong Soon Choi; Jing Su 003; Chung-Che Chang; Xiaobo Zhou 001 (IEEE J. Biomed. Health Informatics, 2014)

Leveraging Single-cell Data through Graph-based Artificial Intelligence. - Qianqian Song; Umit Topaloglu; Jing Su 003; Wei Zhang (AMIA, 2020)

Single Cell RNA Sequencing Reveals Pan-Brain Metastasis Immune Landscape. - Jing Su 003; Qianqian Song; Stacey O'Neill; Jimmy Ruiz; Michael Chan; Michael Soike (AMIA, 2020)

COVID-19 Mortality Prediction among Patients with Cancer Using a Large National Cohort. - Feifan Liu; Noha Sharafeldin; Vithal Madhira; Katie R. Bradwell; Qianqian Song; Benjamin Bates; Yu R. Shao; Jing Su 003; Alfred Anzalone; Timothym Bergquist; Sarah Cutrona; Ben S. Gerber; et al. (AMIA, 2021)

Artificial intelligence identifies the progression of cancer patients with kidney disease. - Qianqian Song; Jing Su 003 (AMIA, 2021)

PASC CKD: revealing the progression trajectories of sustained COVID-19-related renal injury using real-world evidence. - Jing Su 003; Pengyue Zhang; Zuoyi Zhang; Michael Eadon; Xiaochun Li 003; Tian He; Stanley Taylor; Travis Johnson; Zhaorui Liu; Ziyang Tang; Baijian Yang 001; Qianqian Song; et al. (AMIA, 2021)

ADNet: Identify biomarkers of Alzheimer Disease with MRI and EMR data using Deep Neural Networks. - Ziyang Tang; Qianqian Song; Jing Su 003; Baijian Yang 001 (AMIA, 2021)

DSTG: deconvoluting spatial transcriptomics data through graph-based artificial intelligence. - Qianqian Song; Jing Su 003 (Briefings Bioinform., 2021)

scLM: Automatic Detection of Consensus Gene Clusters Across Multiple Single-cell Datasets. - Qianqian Song; Jing Su 003; Lance D. Miller; Wei Zhang (Genom. Proteom. Bioinform., 2021)

The Alcoholic Hepatitis Network Research Data Commons (ARDaC): Design and Development. - Jing Su 003; Nanxin Jin; Zuotan Li; Carla Kettler; Bruce Barton; Greg Puetz; Chi Mai Nguyen; Donna McGrath; Yingjie Chen; Baijian Yang 001; Vijay Shah; Svetlana Radaeva; et al. (AMIA, 2022)

Uncovering the dynamic effects of DEX treatment on lung cancer by integrating bioinformatic inference and multiscale modeling of scRNA-seq and proteomics data. - Minghan Chen; Chunrui Xu; Ziang Xu 002; Wei He; Haorui Zhang; Jing Su 003; Qianqian Song (Comput. Biol. Medicine, 2022)

PINet: Privileged Information Improve the Interpretablity and generalization of structural MRI in Alzheimer's Disease. - Zijia Tang; Tonglin Zhang; Qianqian Song; Jing Su 003; Baijian Yang 001 (BCB, 2023)

ARDaC Common Data Model Facilitates Data Dissemination and Enables Data Commons for Modern Clinical Studies. - Nanxin Jin; Zuotian Li; Carla Kettler; Baijian Yang 001; Wanzhu Tu; Jing Su 003 (MedInfo, 2023)

Feature Selection for Unsupervised Machine Learning. - Huyunting Huang; Ziyang Tang; Tonglin Zhang; Baijian Yang 001; Qianqian Song; Jing Su 003 (SmartCloud, 2023)

spaCI: deciphering spatial cellular communications through adaptive graph model. - Ziyang Tang; Tonglin Zhang; Baijian Yang 001; Jing Su 003; Qianqian Song (Briefings Bioinform., 2023)

SpaRx: elucidate single-cell spatial heterogeneity of drug responses for personalized treatment. - Ziyang Tang; Xiang Liu 016; Zuotian Li; Tonglin Zhang; Baijian Yang 001; Jing Su 003; Qianqian Song (Briefings Bioinform., 2023)

Robust estimation of heterogeneous treatment effects: an algorithm-based approach. - Ruohong Li; Honglang Wang; Yi Zhao; Jing Su 003; Wanzhu Tu (Commun. Stat. Simul. Comput., 2023)

xSiGra: explainable model for single-cell spatial data elucidation. - Aishwarya Budhkar; Ziyang Tang; Xiang Liu 016; Xuhong Zhang 001; Jing Su 003; Qianqian Song (Briefings Bioinform., 2024)

TrajVis: a visual clinical decision support system to translate artificial intelligence trajectory models in the precision management of chronic kidney disease. - Zuotian Li; Xiang Liu 016; Ziyang Tang; Pengyue Zhang; Nanxin Jin; Michael Eadon; Qianqian Song; Yingjie Chen; Jing Su 003 (CoRR, 2024)

Health disparities in the risk of severe acidosis: real-world evidence from the All of Us cohort. - Allison E. Gatz; Chenxi Xiong; Yao Chen; Shihui Jiang; Chi Mai Nguyen; Qianqian Song; Xiaochun Li 003; Pengyue Zhang; Michael Eadon; Jing Su 003 (J. Am. Medical Informatics Assoc., 2024)

TrajVis: a visual clinical decision support system to translate artificial intelligence trajectory models in the precision management of chronic kidney disease. - Zuotian Li; Xiang Liu 016; Ziyang Tang; Nanxin Jin; Pengyue Zhang; Michael Eadon; Qianqian Song; Yingjie Victor Chen; Jing Su 003 (J. Am. Medical Informatics Assoc., 2024)

A trajectory-informed model for detecting drug-drug-host interaction from real-world data. - Yi Shi; Anna Sun; Hongmei Nan; Yuedi Yang; Jing Xu; Michael T. Eadon; Jing Su 003; Pengyue Zhang (J. Biomed. Informatics, 2025)

Personalized and real time hemodynamic management in critical care using Dynamic Cohort Ensemble Learning (DynaCEL). - Lingzhong Meng; Jiangqiong Li; Xiang Liu 016; Yanhua Sun; Zuotian Li; Jinjin Cai; Ameya D. Parab; George Lu; Aishwarya Budhkar; Saravanan Kanakasabai; David C. Adams; Ziyue Liu; et al. (npj Digit. Medicine, 2025)