A novel generation adversarial network framework with characteristics aggregation and diffusion for brain disease classification and feature selection. - Xia-an Bi; Yuhua Mao; Sheng Luo; Hao Wu; Lixia Zhang; Xun Luo; Luyun Xu (Briefings Bioinform., 2022)

Feature aggregation graph convolutional network based on imaging genetic data for diagnosis and pathogeny identification of Alzheimer's disease. - Xia-an Bi; Wenyan Zhou; Sheng Luo; Yuhua Mao; Xi Hu; Bin Zeng 001; Luyun Xu (Briefings Bioinform., 2022)

Brain-Inspired Fuzzy Graph Convolution Network for Alzheimer's Disease Diagnosis Based on Imaging Genetics Data. - Xia-An Bi; YangJun Huang; Wenzhuo Shen; Zicheng Yang; Yuhua Mao; Luyun Xu; Zhonghua Liu (IEEE Trans. Fuzzy Syst., 2025)

Machine learning develops a glutamine metabolism-related signature for predicting clinical outcome, molecular subtyping, immunotherapy efficacy and drug sensitivity in colorectal cancer. - Chunhong Li; Yuhua Mao; Yi Liu; Chunchun Su; Jiahua Hu; Haiyin Tan; Xiao Fan; Yiming Mao 013 (Netw. Model. Anal. Health Informatics Bioinform., 2025)