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Published in Data Analysis and Knowledge Discovery, 2021
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Recommended citation: Gu Yaowen, Zhang Bowen, Zheng Si, Yang Fengchun, Li Jiao, "Predicting drug admet properties based on graph attention network." Data Analysis and Knowledge Discovery, 2021.
Published in Briefings in bioinformatics, 2022
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Recommended citation: Yaowen Gu, Si Zheng, Zidu Xu, Qijin Yin, Liang Li, Jiao Li, "An efficient curriculum learning-based strategy for molecular graph learning." Briefings in bioinformatics, 2022.
Published in Chinese Medical Sciences Journal, 2022
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Recommended citation: Ziyang Wang, Yushan Lan, Zidu Xu, Yaowen Gu, Jiao Li, "Comparison of mortality predictive models of sepsis patients based on machine learning." Chinese Medical Sciences Journal, 2022.
Published in Journal of Hospital Infection, 2022
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Recommended citation: C Zhu, Z Xu, Y Gu, S Zheng, X Sun, J Cao, B Song, J Jin, Y Liu, X Wen, "Prediction of post-stroke urinary tract infection risk in immobile patients using machine learning: an observational cohort study." Journal of Hospital Infection, 2022.
Published in Computers in biology and medicine, 2022
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Recommended citation: Yaowen Gu, Si Zheng, Qijin Yin, Rui Jiang, Jiao Li, "REDDA: Integrating multiple biological relations to heterogeneous graph neural network for drug-disease association prediction." Computers in biology and medicine, 2022.
Published in Journal of Medical Internet Research, 2023
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Recommended citation: Lin Guo, Lin Guo, Jiao Li, Yao Gu, Jia Wang, Ying Cui, Qing Qian, Ting Chen, Rui Jiang, Si Zheng, "Characteristics and Admission Preferences of Pediatric Emergency Patients and Their Waiting Time Prediction Using Electronic Medical Record Data: Retrospective Comparative Analysis." Journal of Medical Internet Research, 2023.
Published in Frontiers in Pharmacology, 2023
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Recommended citation: Hongyu Kang, Li Hou, Yaowen Gu, Xiao Lu, Jiao Li, Qin Li, "Drug–disease association prediction with literature based multi-feature fusion." Frontiers in Pharmacology, 2023.
Published in Molecules, 2023
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Recommended citation: Yaowen Gu, Jiao Li, Hongyu Kang, Bowen Zhang, Si Zheng, "Employing Molecular Conformations for Ligand-Based Virtual Screening with Equivariant Graph Neural Network and Deep Multiple Instance Learning." Molecules, 2023.
Published in Data Analysis and Knowledge Discovery, 2023
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Recommended citation: Gu Yaowen, Zheng Si, Yang Fengchun, Li Jiao, "GNN-MTB: An Anti-Mycobacterium Drug Virtual Screening Model Based on Graph Neural Network." Data Analysis and Knowledge Discovery, 2023.
Published in Computers in Biology and Medicine, 2023
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Recommended citation: Ziyang Wang, Yaowen Gu, Si Zheng, Lin Yang, Jiao Li, "MGREL: A multi-graph representation learning-based ensemble learning method for gene-disease association prediction." Computers in Biology and Medicine, 2023.
Published in Journal of Medical Internet Research, 2023
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Recommended citation: Min Yi, Yuebin Cao, Lin Wang, Yaowen Gu, Xueqian Zheng, Jiangjun Wang, Wei Chen, Liangyu Wei, Yujin Zhou, Chenyi Shi, "Prediction of medical disputes between health care workers and patients in terms of hospital legal construction using machine learning techniques: externally validated cross-sectional study." Journal of Medical Internet Research, 2023.
Published in Artificial Cells, Nanomedicine, and Biotechnology, 2023
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Recommended citation: Xiaofei Zhou, Yuetang Zhuang, Xiaohong Liu, Yaowen Gu, Junting Wang, Yuchen Shi, Li Zhang, Rui Li, Yelin Zhao, Hebing Chen, "Study on tumour cell-derived hybrid exosomes as dasatinib nanocarriers for pancreatic cancer therapy." Artificial Cells, Nanomedicine, and Biotechnology, 2023.
Published in JMIR Formative Research, 2024
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Recommended citation: Zidu Xu, Yaowen Gu, Xiaowei Xu, Maxim Topaz, Zhen Guo, Hongyu Kang, Lianglong Sun, Jiao Li, "Developing a Personalized Meal Recommendation System for Chinese Older Adults: Observational Cohort Study." JMIR Formative Research, 2024.
Undergraduate course, New York University, Department of Chemistry, 2024