Jing Su

According to our database, Jing Su authored at least 23 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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, Ziyang Tang, Nanxin Jin, Pengyue Zhang, Michael Eadon, Qianqian Song, Yingjie V. Chen, Jing Su

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, Ziyang Tang, Pengyue Zhang, Nanxin Jin, Michael Eadon, Qianqian Song, Yingjie Chen, Jing Su

CoRR, 2024

xSiGra: explainable model for single-cell spatial data elucidation.

Aishwarya Budhkar, Ziyang Tang, Xiang Liu, Xuhong Zhang, Jing Su, Qianqian Song

Briefings Bioinform., 2024

2023

Robust estimation of heterogeneous treatment effects: an algorithm-based approach.

Ruohong Li, Honglang Wang, Yi Zhao, Jing Su, Wanzhu Tu

Commun. Stat. Simul. Comput., October, 2023

SpaRx: elucidate single-cell spatial heterogeneity of drug responses for personalized treatment.

Ziyang Tang, Xiang Liu, Zuotian Li, Tonglin Zhang, Baijian Yang, Jing Su, Qianqian Song

Briefings Bioinform., September, 2023

spaCI: deciphering spatial cellular communications through adaptive graph model.

Ziyang Tang, Tonglin Zhang, Baijian Yang, Jing Su, Qianqian Song

Briefings Bioinform., January, 2023

Feature Selection for Unsupervised Machine Learning.

Huyunting Huang, Ziyang Tang, Tonglin Zhang, Baijian Yang, Qianqian Song, Jing Su

Proceedings of the 8th IEEE International Conference on Smart Cloud, 2023

ARDaC Common Data Model Facilitates Data Dissemination and Enables Data Commons for Modern Clinical Studies.

Nanxin Jin, Zuotian Li, Carla Kettler, Baijian Yang, Wanzhu Tu, Jing Su

Proceedings of the MEDINFO 2023 - The Future Is Accessible, 2023

PINet: Privileged Information Improve the Interpretablity and generalization of structural MRI in Alzheimer's Disease.

Zijia Tang, Tonglin Zhang, Qianqian Song, Jing Su, Baijian Yang

Proceedings of the 14th ACM International Conference on Bioinformatics, 2023

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, Wei He, Haorui Zhang, Jing Su, Qianqian Song

Comput. Biol. Medicine, 2022

The Alcoholic Hepatitis Network Research Data Commons (ARDaC): Design and Development.

Jing Su, Nanxin Jin, Zuotan Li, Carla Kettler, Bruce Barton, Greg Puetz, Chi Mai Nguyen, Donna McGrath, Yingjie Chen, Baijian Yang, Vijay Shah, Svetlana Radaeva, Samer Gawrieh, Wanzhu Tu

Proceedings of the AMIA 2022, 2022

2021

scLM: Automatic Detection of Consensus Gene Clusters Across Multiple Single-cell Datasets.

Qianqian Song, Jing Su, Lance D. Miller, Wei Zhang

Genom. Proteom. Bioinform., 2021

DSTG: deconvoluting spatial transcriptomics data through graph-based artificial intelligence.

Qianqian Song, Jing Su

Briefings Bioinform., 2021

ADNet: Identify biomarkers of Alzheimer Disease with MRI and EMR data using Deep Neural Networks.

Ziyang Tang, Qianqian Song, Jing Su, Baijian Yang

Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

PASC CKD: revealing the progression trajectories of sustained COVID-19-related renal injury using real-world evidence.

Jing Su, Pengyue Zhang, Zuoyi Zhang, Michael Eadon, Xiaochun Li, Tian He, Stanley Taylor, Travis Johnson, Zhaorui Liu, Ziyang Tang, Baijian Yang, Qianqian Song, Kun Huang

Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

Artificial intelligence identifies the progression of cancer patients with kidney disease.

Qianqian Song, Jing Su

Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

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, Alfred Anzalone, Timothym Bergquist, Sarah Cutrona, Ben S. Gerber, Peter N. Robinson, Justin Guinney, Umit Topaloglu

Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

2020

Single Cell RNA Sequencing Reveals Pan-Brain Metastasis Immune Landscape.

Jing Su, Qianqian Song, Stacey O'Neill, Jimmy Ruiz, Michael Chan, Michael Soike

Proceedings of the AMIA 2020, 2020

Leveraging Single-cell Data through Graph-based Artificial Intelligence.

Qianqian Song, Umit Topaloglu, Jing Su, Wei Zhang

Proceedings of the AMIA 2020, 2020

2014

Modeling Cell-Cell Interactions in Regulating Multiple Myeloma Initiating Cell Fate.

Tao Peng, Huiming Peng, Dong Soon Choi, Jing Su, Chung-Che Chang, Xiaobo Zhou

IEEE J. Biomed. Health Informatics, 2014

Multiscale agent-based modelling of ovarian cancer progression under the stimulation of the STAT 3 pathway.

Le Zhang, Yao Xue, Beini Jiang, Costas G. Strouthos, Zhenfeng Duan, Yukun Wu, Jing Su, Xiaobo Zhou

Int. J. Data Min. Bioinform., 2014

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, Le Zhang, Chung-Che Jeff Chang, Xiaobo Zhou

Bioinform., 2014

2009

Local cell metrics: a novel method for analysis of cell-cell interactions.

Jing Su, Pedro J. Zapata, Chien-Chiang Chen, J. Carson Meredith

BMC Bioinform., 2009