A novel network control model for identifying personalized driver genes in cancer. - Weifeng Guo; Shao-Wu Zhang 001; Tao Zeng 003; Yan Li 111; Jianxi Gao; Luonan Chen (PLoS Comput. Biol., 2019)

Resilience function uncovers the critical transitions in cancer initiation. - Yan Li 111; Shao-Wu Zhang 001 (Briefings Bioinform., 2021)

Identifying driver genes for individual patients through inductive matrix completion. - Tong Zhang; Shao-Wu Zhang 001; Yan Li 111 (Bioinform., 2021)

Prioritization of cancer driver gene with prize-collecting steiner tree by introducing an edge weighted strategy in the personalized gene interaction network. - Shao-Wu Zhang 001; Zhen-Nan Wang; Yan Li 111; Weifeng Guo (BMC Bioinform., 2022)

A novel heterophilic graph diffusion convolutional network for identifying cancer driver genes. - Tong Zhang; Shao-Wu Zhang 001; Ming-Yu Xie; Yan Li 111 (Briefings Bioinform., 2023)

PhenoDriver: interpretable framework for studying personalized phenotype-associated driver genes in breast cancer. - Yan Li 111; Shao-Wu Zhang 001; Ming-Yu Xie; Tong Zhang (Briefings Bioinform., 2023)

Diagnosis of Alzheimer's disease by joining dual attention CNN and MLP based on structural MRIs, clinical and genetic data. - Yan-Rui Qiang; Shao-Wu Zhang 001; Jia-Ni Li; Yan Li 111; Qin-Yi Zhou (Artif. Intell. Medicine, 2023)

Identifying cooperating cancer driver genes in individual patients through hypergraph random walk. - Tong Zhang; Shao-Wu Zhang 001; Ming-Yu Xie; Yan Li 111 (J. Biomed. Informatics, 2024)