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Pengyong Han
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2020 – today
- 2024
- [j7]Wenjing Wang
, Pengyong Han
LMGATCDA: Graph Neural Network With Labeling Trick for Predicting circRNA-Disease Associations. IEEE ACM Trans. Comput. Biol. Bioinform. 21(2): 289-300 (2024) - 2023
- [j6]Kangwei Wang, Zhengwei Li
Adversarial dense graph convolutional networks for single-cell classification. Bioinform. 39(2) (2023) - [j5]Zhenrun Zhan
Applying machine learning to screen for acute myocardial infarction-related biomarkers and immune infiltration features and validate it clinically and experimentally. Int. J. Imaging Syst. Technol. 33(6): 2023-2043 (2023) - [j4]Zheng-Wei Li
Predicting MiRNA-Disease Associations by Graph Representation Learning Based on Jumping Knowledge Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 20(5): 2629-2638 (2023) - [c15]Shu-An Liu
A Graph Neural Network with Multiple Auxiliary Tasks for Accurate Single Cell Classiଁcation. SPML 2023: 124-132 - [c14]Zhi-Peng Zhu
ADARES: A Single-cell Classification Model Based on Adversarial Data Augmentation and Residual Networks. SPML 2023: 142-149 - 2022
- [j3]Hongyu Sun, Jin Yang, Xiaohui Li, Yi Lyu, Zhaomeng Xu, Hui He, Xiaomin Tong, Tingyu Ji, Shihan Ding, Chaoli Zhou, Pengyong Han, Jinping Zheng:
Identification of feature genes and pathways for Alzheimer's disease via WGCNA and LASSO regression. Frontiers Comput. Neurosci. 16 (2022) - [j2]Jing Li, Chen Zhang, Zheng-Wei Li
GCMCDTI: Graph convolutional autoencoder framework for predicting drug-target interactions based on matrix completion. J. Bioinform. Comput. Biol. 20(5): 2250023:1-2250023:18 (2022) - [c13]Zhenrun Zhan, Tingting Zhao, Xiaodan Bi, Jinpeng Yang, Pengyong Han:
Identification and Evaluation of Key Biomarkers of Acute Myocardial Infarction by Machine Learning. ICIC (2) 2022: 103-115 - [c12]Yanran Li, Chandrasekhar Gopalakrishnan, Jian Wang, Rajasekaran Ramalingam, Caixia Xu, Pengyong Han:
Glioblastoma Subtyping by Immuogenomics. ICIC (2) 2022: 116-125 - [c11]Zhengtao Zhang, Pengyong Han, Zhengwei Li, Ru Nie, Qiankun Wang:
Prediction of MiRNA-Disease Association Based on Higher-Order Graph Convolutional Networks. ICIC (2) 2022: 181-195 - [c10]Caixia Xu, Xiaokun Yang, Zhipeng Wang, Pengyong Han, Xiaoguang Li, Zhengwei Li:
Research on the Potential Mechanism of Rhizoma Drynariae in the Treatment of Periodontitis Based on Network Pharmacology. ICIC (2) 2022: 207-219 - [c9]Zhenrun Zhan, Pengyong Han, Xiaodan Bi, Jinpeng Yang, Tingting Zhao:
A Novel Cuprotosis-Related Gene Signature Predicts Survival Outcomes in Patients with Clear-Cell Renal Cell Carcinoma. ICIC (2) 2022: 260-269 - [c8]Chandrasekhar Gopalakrishnan, Caixia Xu, Yanran Li, Vinutha Anandhan, Sanjay Gangadharan, Meshach Paul, Chandra Sekar Ponnusamy
Elucidating Quantum Semi-empirical Based QSAR, for Predicting Tannins' Anti-oxidant Activity with the Help of Artificial Neural Network. ICIC (2) 2022: 289-301 - [c7]Feng Chang, Zhenqiong Chen, Caixia Xu, Hailei Liu, Pengyong Han:
Bioinformatic Analysis of Clear Cell Renal Carcinoma via ATAC-Seq and RNA-Seq. ICIC (2) 2022: 374-382 - [c6]Hailei Liu, Zhenqiong Chen, Chandrasekhar Gopalakrishnan, Rajasekaran Ramalingam, Pengyong Han, Zhengwei Li:
The Prognosis Model of Clear Cell Renal Cell Carcinoma Based on Allograft Rejection Markers. ICIC (2) 2022: 383-393 - [c5]Yun Tian, Caixia Xu, Lin Li, Pengyong Han, Zhengwei Li:
The CNV Predict Model in Esophagus Cancer. ICIC (2) 2022: 405-414 - [c4]Hongyu Sun, Xiaohui Li, Jin Yang, Yi Lyu, Pengyong Han, Jinping Zheng:
A Novel Cuprotosis-Related lncRNA Signature Predicts Survival Outcomes in Patients with Glioblastoma. ICIC (2) 2022: 556-568 - 2021
- [j1]Jean-Sébastien Milanese
eTumorMetastasis: A Network-based Algorithm Predicts Clinical Outcomes Using Whole-exome Sequencing Data of Cancer Patients. Genom. Proteom. Bioinform. 19(6): 973-985 (2021) - [c3]Chandrasekhar Gopalakrishnan, Caixia Xu, Pengyong Han, Rajasekaran Ramalingam, Zhengwei Li
Delineating QSAR Descriptors to Explore the Inherent Properties of Naturally Occurring Polyphenols, Responsible for Alpha-Synuclein Amyloid Disaggregation Scheming Towards Effective Therapeutics Against Parkinson's Disorder. ICIC (3) 2021: 231-241 - [c2]Yuan Dong, Caixia Xu, Chenxia Ren, Pengyong Han, Fei Ren, Zhengwei Li
Study on the Mechanism of Cistanche in the Treatment of Colorectal Cancer Based on Network Pharmacology. ICIC (3) 2021: 242-252 - 2020
- [c1]Chenxia Ren
Expression and Gene Regulation Network of ELF3 in Breast Invasive Carcinoma Based on Data Mining. ICIC (2) 2020: 514-523
Coauthor Index
aka: Zheng-Wei Li
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