Pengyong Han

According to our database, Pengyong Han authored at least 22 papers between 2020 and 2024.

Collaborative distances:

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

2024

LMGATCDA: Graph Neural Network With Labeling Trick for Predicting circRNA-Disease Associations.

Wenjing Wang, Pengyong Han, Zhengwei Li, Ru Nie, Kangwei Wang, Lei Wang, Hongmei Liao

IEEE ACM Trans. Comput. Biol. Bioinform., 2024

2023

Applying machine learning to screen for acute myocardial infarction-related biomarkers and immune infiltration features and validate it clinically and experimentally.

Zhenrun Zhan, Pengyong Han, Xu Tang, Jinpeng Yang, Xiaodan Bi, Tingting Zhao

Int. J. Imaging Syst. Technol., November, 2023

Adversarial dense graph convolutional networks for single-cell classification.

Kangwei Wang, Zhengwei Li, Zhu-Hong You, Pengyong Han, Ru Nie

Bioinform., February, 2023

Predicting MiRNA-Disease Associations by Graph Representation Learning Based on Jumping Knowledge Networks.

Zheng-Wei Li, Qiankun Wang, Chang-An Yuan, Pengyong Han, Zhu-Hong You, Lei Wang

IEEE ACM Trans. Comput. Biol. Bioinform., 2023

ADARES: A Single-cell Classification Model Based on Adversarial Data Augmentation and Residual Networks.

Zhi-Peng Zhu, Pengyong Han, Lei Wang, Xishang Dong, San-Rong Liu, Zheng-Wei Li

Proceedings of the 6th International Conference on Signal Processing and Machine Learning, 2023

A Graph Neural Network with Multiple Auxiliary Tasks for Accurate Single Cell Classiଁcation.

Shu-An Liu, Pengyong Han, Hua Hu, Bin Yang, Meng-Lin Liu, Zheng-Wei Li

Proceedings of the 6th International Conference on Signal Processing and Machine Learning, 2023

2022

GCMCDTI: Graph convolutional autoencoder framework for predicting drug-target interactions based on matrix completion.

Jing Li, Chen Zhang, Zheng-Wei Li, Ru Nie, Pengyong Han, Wenjia Yang, Hongmei Liao

J. Bioinform. Comput. Biol., 2022

Identification of feature genes and pathways for Alzheimer's disease via WGCNA and LASSO regression.

Hongyu Sun, Jin Yang, Xiaohui Li, Yi Lyu, Zhaomeng Xu, Hui He, Xiaomin Tong, Tingyu Ji, Shihan Ding, Chaoli Zhou, Pengyong Han, Jinping Zheng

Frontiers Comput. Neurosci., 2022

Prediction of MiRNA-Disease Association Based on Higher-Order Graph Convolutional Networks.

Zhengtao Zhang, Pengyong Han, Zhengwei Li, Ru Nie, Qiankun Wang

Proceedings of the Intelligent Computing Theories and Application, 2022

Identification and Evaluation of Key Biomarkers of Acute Myocardial Infarction by Machine Learning.

Zhenrun Zhan, Tingting Zhao, Xiaodan Bi, Jinpeng Yang, Pengyong Han

Proceedings of the Intelligent Computing Theories and Application, 2022

A Novel Cuprotosis-Related Gene Signature Predicts Survival Outcomes in Patients with Clear-Cell Renal Cell Carcinoma.

Zhenrun Zhan, Pengyong Han, Xiaodan Bi, Jinpeng Yang, Tingting Zhao

Proceedings of the Intelligent Computing Theories and Application, 2022

Research on the Potential Mechanism of Rhizoma Drynariae in the Treatment of Periodontitis Based on Network Pharmacology.

Caixia Xu, Xiaokun Yang, Zhipeng Wang, Pengyong Han, Xiaoguang Li, Zhengwei Li

Proceedings of the Intelligent Computing Theories and Application, 2022

The CNV Predict Model in Esophagus Cancer.

Yun Tian, Caixia Xu, Lin Li, Pengyong Han, Zhengwei Li

Proceedings of the Intelligent Computing Theories and Application, 2022

A Novel Cuprotosis-Related lncRNA Signature Predicts Survival Outcomes in Patients with Glioblastoma.

Hongyu Sun, Xiaohui Li, Jin Yang, Yi Lyu, Pengyong Han, Jinping Zheng

Proceedings of the Intelligent Computing Theories and Application, 2022

The Prognosis Model of Clear Cell Renal Cell Carcinoma Based on Allograft Rejection Markers.

Hailei Liu, Zhenqiong Chen, Chandrasekhar Gopalakrishnan, Rajasekaran Ramalingam, Pengyong Han, Zhengwei Li

Proceedings of the Intelligent Computing Theories and Application, 2022

Glioblastoma Subtyping by Immuogenomics.

Yanran Li, Chandrasekhar Gopalakrishnan, Jian Wang, Rajasekaran Ramalingam, Caixia Xu, Pengyong Han

Proceedings of the Intelligent Computing Theories and Application, 2022

Elucidating Quantum Semi-empirical Based QSAR, for Predicting Tannins' Anti-oxidant Activity with the Help of Artificial Neural Network.

Chandrasekhar Gopalakrishnan, Caixia Xu, Yanran Li, Vinutha Anandhan, Sanjay Gangadharan, Meshach Paul, Chandra Sekar Ponnusamy, Rajasekaran Ramalingam, Pengyong Han, Zhengwei Li

Proceedings of the Intelligent Computing Theories and Application, 2022

Bioinformatic Analysis of Clear Cell Renal Carcinoma via ATAC-Seq and RNA-Seq.

Feng Chang, Zhenqiong Chen, Caixia Xu, Hailei Liu, Pengyong Han

Proceedings of the Intelligent Computing Theories and Application, 2022

2021

eTumorMetastasis: A Network-based Algorithm Predicts Clinical Outcomes Using Whole-exome Sequencing Data of Cancer Patients.

Jean-Sébastien Milanese, Chabane Tibiche, Naif Zaman, Jinfeng Zou, Pengyong Han, Zhigang Meng, André Nantel, Arnaud Droit, Edwin Wang

Genom. Proteom. Bioinform., 2021

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.

Chandrasekhar Gopalakrishnan, Caixia Xu, Pengyong Han, Rajasekaran Ramalingam, Zhengwei Li

Proceedings of the Intelligent Computing Theories and Application, 2021

Study on the Mechanism of Cistanche in the Treatment of Colorectal Cancer Based on Network Pharmacology.

Yuan Dong, Caixia Xu, Chenxia Ren, Pengyong Han, Fei Ren, Zhengwei Li, Zibai Wei

Proceedings of the Intelligent Computing Theories and Application, 2021

2020

Expression and Gene Regulation Network of ELF3 in Breast Invasive Carcinoma Based on Data Mining.

Chenxia Ren, Pengyong Han, Chandrasekhar Gopalakrishnan, Caixia Xu, Rajasekaran Ramalingam, Zhengwei Li

Proceedings of the Intelligent Computing Theories and Application, 2020