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 001 (ICIC (2), 2020)

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 001; Zibai Wei (ICIC (3), 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 001 (ICIC (3), 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)

Bioinformatic Analysis of Clear Cell Renal Carcinoma via ATAC-Seq and RNA-Seq. - Feng Chang; Zhenqiong Chen; Caixia Xu; Hailei Liu; Pengyong Han (ICIC (2), 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 001 (ICIC (2), 2022)

Glioblastoma Subtyping by Immuogenomics. - Yanran Li; Chandrasekhar Gopalakrishnan; Jian Wang; Rajasekaran Ramalingam; Caixia Xu; Pengyong Han (ICIC (2), 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 001 (ICIC (2), 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 (ICIC (2), 2022)

The CNV Predict Model in Esophagus Cancer. - Yun Tian; Caixia Xu; Lin Li; Pengyong Han; Zhengwei Li 001 (ICIC (2), 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 001 (ICIC (2), 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 (ICIC (2), 2022)

Identification and Evaluation of Key Biomarkers of Acute Myocardial Infarction by Machine Learning. - Zhenrun Zhan; Tingting Zhao; Xiaodan Bi; Jinpeng Yang; Pengyong Han (ICIC (2), 2022)

Prediction of MiRNA-Disease Association Based on Higher-Order Graph Convolutional Networks. - Zhengtao Zhang; Pengyong Han; Zhengwei Li 001; Ru Nie; Qiankun Wang (ICIC (2), 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)

GCMCDTI: Graph convolutional autoencoder framework for predicting drug-target interactions based on matrix completion. - Jing Li; Chen Zhang; Zheng-Wei Li 001; Ru Nie; Pengyong Han; Wenjia Yang; Hongmei Liao (J. Bioinform. Comput. Biol., 2022)

A Graph Neural Network with Multiple Auxiliary Tasks for Accurate Single Cell Classification. - Shu-An Liu; Pengyong Han; Hua Hu 003; Bin Yang 017; Meng-Lin Liu; Zheng-Wei Li 001 (SPML, 2023)

ADARES: A Single-cell Classification Model Based on Adversarial Data Augmentation and Residual Networks. - Zhi-Peng Zhu; Pengyong Han; Lei Wang 121; Xishang Dong; San-Rong Liu; Zheng-Wei Li 001 (SPML, 2023)

Predicting MiRNA-Disease Associations by Graph Representation Learning Based on Jumping Knowledge Networks. - Zheng-Wei Li 001; Qiankun Wang; Chang-An Yuan 001; Pengyong Han; Zhu-Hong You; Lei Wang 121 (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

Adversarial dense graph convolutional networks for single-cell classification. - Kangwei Wang; Zhengwei Li 001; Zhu-Hong You; Pengyong Han; Ru Nie (Bioinform., 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., 2023)

LMGATCDA: Graph Neural Network With Labeling Trick for Predicting circRNA-Disease Associations. - Wenjing Wang; Pengyong Han; Zhengwei Li 001; Ru Nie; Kangwei Wang; Lei Wang 121; Hongmei Liao (IEEE ACM Trans. Comput. Biol. Bioinform., 2024)