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Jing Su 0003
Person information
- affiliation: Indiana University School of Medicine, Department of Biostatistics and Health Data Science, IN, USA
- affiliation: Wake Forest School of Medicine, Center for Cancer Genomics and Precision Oncology, NC, USA
- affiliation (PhD 2008): Georgia Institute of Technology, Department of Biomedical Engineering, GA, USA
Other persons with the same name
- Jing Su — disambiguation page
- Jing Su 0001 — Trinity College Dublin, School of Computer Science and Statistics, Ireland
- Jing Su 0002 — University of Toronto, Department of of Computer Science, Canada
- Jing Su 0004
— Southern Methodist University, AT&T Center for Virtualization, Dallas, USA
- Jing Su 0005
— SenseTime Group Limited, Department of Smart City, Beijing, China (and 1 more)
- Jing Su 0006 — Guangdong University of Technology, School of Information Engineering, Guangzhou, China (and 2 more)
- Jing Su 0007
— Northwest Normal University, College of Mathematics and Statistics, Lanzhou, China (and 1 more)
- Jing Su 0008
— Vanderbilt University Medical Center, Center for Knowledge Management, Strategy and Innovation, USA
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2020 – today
- 2024
- [j11]Aishwarya Budhkar, Ziyang Tang, Xiang Liu, Xuhong Zhang
, Jing Su, Qianqian Song
:
xSiGra: explainable model for single-cell spatial data elucidation. Briefings Bioinform. 25(5) (2024) - [i1]Zuotian Li, Xiang Liu, Ziyang Tang, Pengyue Zhang, Nanxin Jin, Michael Eadon, Qianqian Song, Yingjie Chen, Jing Su:
TrajVis: a visual clinical decision support system to translate artificial intelligence trajectory models in the precision management of chronic kidney disease. CoRR abs/2401.08067 (2024) - 2023
- [j10]Ziyang Tang
, Tonglin Zhang, Baijian Yang
, Jing Su
, Qianqian Song
:
spaCI: deciphering spatial cellular communications through adaptive graph model. Briefings Bioinform. 24(1) (2023) - [j9]Ziyang Tang, Xiang Liu, Zuotian Li, Tonglin Zhang, Baijian Yang
, Jing Su
, Qianqian Song
:
SpaRx: elucidate single-cell spatial heterogeneity of drug responses for personalized treatment. Briefings Bioinform. 24(6) (2023) - [j8]Ruohong Li
, Honglang Wang
, Yi Zhao
, Jing Su
, Wanzhu Tu
:
Robust estimation of heterogeneous treatment effects: an algorithm-based approach. Commun. Stat. Simul. Comput. 52(10): 4981-4998 (2023) - [c10]Zijia Tang
, Tonglin Zhang
, Qianqian Song
, Jing Su
, Baijian Yang
:
PINet: Privileged Information Improve the Interpretablity and generalization of structural MRI in Alzheimer's Disease. BCB 2023: 47:1-47:9 - [c9]Nanxin Jin
, Zuotian Li, Carla Kettler, Baijian Yang
, Wanzhu Tu, Jing Su
:
ARDaC Common Data Model Facilitates Data Dissemination and Enables Data Commons for Modern Clinical Studies. MedInfo 2023: 3-7 - [c8]Huyunting Huang, Ziyang Tang, Tonglin Zhang, Baijian Yang
, Qianqian Song, Jing Su:
Feature Selection for Unsupervised Machine Learning. SmartCloud 2023: 164-169 - 2022
- [j7]Minghan Chen, Chunrui Xu, Ziang Xu
, Wei He, Haorui Zhang, Jing Su
, Qianqian Song:
Uncovering the dynamic effects of DEX treatment on lung cancer by integrating bioinformatic inference and multiscale modeling of scRNA-seq and proteomics data. Comput. Biol. Medicine 149: 105999 (2022) - [c7]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:
The Alcoholic Hepatitis Network Research Data Commons (ARDaC): Design and Development. AMIA 2022 - 2021
- [j6]Qianqian Song
, Jing Su:
DSTG: deconvoluting spatial transcriptomics data through graph-based artificial intelligence. Briefings Bioinform. 22(5) (2021) - [j5]Qianqian Song
, Jing Su
, Lance D. Miller
, Wei Zhang
:
scLM: Automatic Detection of Consensus Gene Clusters Across Multiple Single-cell Datasets. Genom. Proteom. Bioinform. 19(2): 330-341 (2021) - [c6]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:
COVID-19 Mortality Prediction among Patients with Cancer Using a Large National Cohort. AMIA 2021 - [c5]Qianqian Song, Jing Su:
Artificial intelligence identifies the progression of cancer patients with kidney disease. AMIA 2021 - [c4]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:
PASC CKD: revealing the progression trajectories of sustained COVID-19-related renal injury using real-world evidence. AMIA 2021 - [c3]Ziyang Tang, Qianqian Song, Jing Su, Baijian Yang:
ADNet: Identify biomarkers of Alzheimer Disease with MRI and EMR data using Deep Neural Networks. AMIA 2021 - 2020
- [c2]Qianqian Song, Umit Topaloglu, Jing Su, Wei Zhang:
Leveraging Single-cell Data through Graph-based Artificial Intelligence. AMIA 2020 - [c1]Jing Su, Qianqian Song, Stacey O'Neill, Jimmy Ruiz, Michael Chan, Michael Soike:
Single Cell RNA Sequencing Reveals Pan-Brain Metastasis Immune Landscape. AMIA 2020
2010 – 2019
- 2014
- [j4]Huiming Peng, Tao Peng, Jianguo Wen, David A. Engler, Risë K. Matsunami, Jing Su
, Le Zhang
, Chung-Che Jeff Chang, Xiaobo Zhou:
Characterization of p38 MAPK isoforms for drug resistance study using systems biology approach. Bioinform. 30(13): 1899-1907 (2014) - [j3]Le Zhang
, Yao Xue, Beini Jiang, Costas G. Strouthos
, Zhenfeng Duan, Yukun Wu, Jing Su
, Xiaobo Zhou:
Multiscale agent-based modelling of ovarian cancer progression under the stimulation of the STAT 3 pathway. Int. J. Data Min. Bioinform. 9(3): 235-253 (2014) - [j2]Tao Peng, Huiming Peng, Dong Soon Choi, Jing Su
, Chung-Che Chang, Xiaobo Zhou:
Modeling Cell-Cell Interactions in Regulating Multiple Myeloma Initiating Cell Fate. IEEE J. Biomed. Health Informatics 18(2): 484-491 (2014)
2000 – 2009
- 2009
- [j1]Jing Su
, Pedro J. Zapata
, Chien-Chiang Chen, J. Carson Meredith:
Local cell metrics: a novel method for analysis of cell-cell interactions. BMC Bioinform. 10: 350 (2009)
Coauthor Index
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last updated on 2024-09-11 00:31 CEST by the dblp team
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