Predicting essential proteins based on subcellular localization, orthology and PPI networks. - Gaoshi Li; Min Li 007; Jianxin Wang 001; Jingli Wu; Fang-Xiang Wu; Yi Pan 001 (BMC Bioinform., 2016)

Two novel models and a parthenogenetic algorithm for detecting common driver pathways from pan-cancer data. - Jingli Wu; Ke Pan; Gaoshi Li; Kai Zhu 009; Qirong Cai (Eng. Appl. Artif. Intell., 2020)

United Neighborhood Closeness Centrality and Orthology for Predicting Essential Proteins. - Gaoshi Li; Min Li 007; Jianxin Wang 001; Yaohang Li; Yi Pan 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2020)

IDM-SPS: Identifying driver module with somatic mutation, PPI network and subcellular localization. - Jingli Wu; Jifan Yang; Gaoshi Li; Jinyan Wang (Eng. Appl. Artif. Intell., 2021)

Identifying driver genes in cancer based on Pareto optimality consensus. - Zheng Deng; Jingli Wu; Xiaorong Chen; Gaoshi Li (BIBM, 2022)

A model and algorithm for identifying driver pathways based on weighted non-binary mutation matrix. - Jingli Wu; Kai Zhu 009; Gaoshi Li; Jinyan Wang; Qirong Cai (Appl. Intell., 2022)

A nonlinear model and an algorithm for identifying cancer driver pathways. - Jingli Wu; Xiaorong Chen; Gaoshi Li; Zheng Deng; Kai Zhu 009 (Appl. Soft Comput., 2022)

Identifying common driver modules by equilibrating coverage and mutual exclusivity across pan-cancer data. - Jingli Wu; Cong Wu; Gaoshi Li (Neurocomputing, 2022)

Identification of cancer-related module in protein-protein interaction network based on gene prioritization. - Jingli Wu; Qi Zhang; Gaoshi Li (J. Bioinform. Comput. Biol., 2022)

Essential proteins identification based on weak consensus model and neighborhood aggregation centrality. - Zhipeng Hu; Gaoshi Li; Jingli Wu; Xinlong Luo 002; Jiafei Liu; Wei Peng 004; Xiaoshu Zhu (BIBM, 2023)

A model and cooperative co-evolution algorithm for identifying driver pathways based on the integrated data and PPI network. - Kai Zhu 009; Jingli Wu; Gaoshi Li; Xiaorong Chen; Michael Yourong Luo (Expert Syst. Appl., 2023)

Mdwgan-gp: data augmentation for gene expression data based on multiple discriminator WGAN-GP. - Rongyuan Li; Jingli Wu; Gaoshi Li; Jiafei Liu; Junbo Xuan; Qi Zhu (BMC Bioinform., 2023)

Identifying driver pathways based on a parameter-free model and a partheno-genetic algorithm. - Jingli Wu; Qinghua Nie; Gaoshi Li; Kai Zhu 009 (BMC Bioinform., 2023)

Essential proteins discovery based on dominance relationship and neighborhood similarity centrality. - Gaoshi Li; Xinlong Luo 002; Zhipeng Hu; Jingli Wu; Wei Peng 004; Jiafei Liu; Xiaoshu Zhu (Health Inf. Sci. Syst., 2023)

IntroGRN: Gene Regulatory Network Inference from Single-Cell RNA Data Based on Introspective VAE. - Rongyuan Li; Jingli Wu; Gaoshi Li; Jiafei Liu; Jinlu Liu; Junbo Xuan; Zheng Deng (ISBRA (1), 2024)

A model and multi-core parallel co-evolution algorithm for identifying cancer driver pathways. - Xiaorong Chen; Jingli Wu; Zheng Deng; Gaoshi Li (Eng. Appl. Artif. Intell., 2024)

Identification of Cancer Driver Genes based on Dynamic Incentive Model. - Zhipeng Hu; Gaoshi Li; Xinlong Luo 002; Wei Peng 004; Jiafei Liu; Xiaoshu Zhu; Jingli Wu (IEEE ACM Trans. Comput. Biol. Bioinform., 2024)

AGImpute: imputation of scRNA-seq data based on a hybrid GAN with dropouts identification. - Xiaoshu Zhu; Shuang Meng; Gaoshi Li; Jian-Xin Wang 001; Xiaoqing Peng (Bioinform., 2024)

Identification of cancer driver genes based on hierarchical weak consensus model. - Gaoshi Li; Zhipeng Hu; Xinlong Luo 002; Jiafei Liu; Jingli Wu; Wei Peng 004; Xiaoshu Zhu (Health Inf. Sci. Syst., 2024)

The reliability of (n,k)-star network in terms of non-inclusive fault pattern. - Qigong Chen; Jiafei Liu; Chia-Wei Lee; Jingli Wu; Gaoshi Li (Theor. Comput. Sci., 2025)

A novel fault diagnostic algorithm with multiple characteristics for multiprocessor systems. - Gaotao Ge; Jiafei Liu; Dajin Wang; Jingli Wu; Gaoshi Li (Theor. Comput. Sci., 2025)

An analysis on component reliability of (n, k)-star networks. - Zhihang Wang; Jiafei Liu; Chia-Wei Lee; Jingli Wu; Gaoshi Li (J. Supercomput., 2025)