Gaoshi Li

According to our database, Gaoshi Li authored at least 16 papers between 2016 and 2024.

Collaborative distances:

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

2024

Identification of cancer driver genes based on hierarchical weak consensus model.

Gaoshi Li, Zhipeng Hu, Xinlong Luo, Jiafei Liu, Jingli Wu, Wei Peng, Xiaoshu Zhu

Health Inf. Sci. Syst., December, 2024

AGImpute: imputation of scRNA-seq data based on a hybrid GAN with dropouts identification.

Xiaoshu Zhu, Shuang Meng, Gaoshi Li, Jian-Xin Wang, Xiaoqing Peng

Bioinform., February, 2024

2023

Essential proteins discovery based on dominance relationship and neighborhood similarity centrality.

Gaoshi Li, Xinlong Luo, Zhipeng Hu, Jingli Wu, Wei Peng, Jiafei Liu, Xiaoshu Zhu

Health Inf. Sci. Syst., December, 2023

Identifying driver pathways based on a parameter-free model and a partheno-genetic algorithm.

Jingli Wu, Qinghua Nie, Gaoshi Li, Kai Zhu

BMC Bioinform., December, 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., December, 2023

A model and cooperative co-evolution algorithm for identifying driver pathways based on the integrated data and PPI network.

Kai Zhu, Jingli Wu, Gaoshi Li, Xiaorong Chen, Michael Yourong Luo

Expert Syst. Appl., 2023

Essential proteins identification based on weak consensus model and neighborhood aggregation centrality.

Zhipeng Hu, Gaoshi Li, Jingli Wu, Xinlong Luo, Jiafei Liu, Wei Peng, Xiaoshu Zhu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

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

Identifying common driver modules by equilibrating coverage and mutual exclusivity across pan-cancer data.

Jingli Wu, Cong Wu, Gaoshi Li

Neurocomputing, 2022

A nonlinear model and an algorithm for identifying cancer driver pathways.

Jingli Wu, Xiaorong Chen, Gaoshi Li, Zheng Deng, Kai Zhu

Appl. Soft Comput., 2022

A model and algorithm for identifying driver pathways based on weighted non-binary mutation matrix.

Jingli Wu, Kai Zhu, Gaoshi Li, Jinyan Wang, Qirong Cai

Appl. Intell., 2022

Identifying driver genes in cancer based on Pareto optimality consensus.

Zheng Deng, Jingli Wu, Xiaorong Chen, Gaoshi Li

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021

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

2020

United Neighborhood Closeness Centrality and Orthology for Predicting Essential Proteins.

Gaoshi Li, Min Li, Jianxin Wang, Yaohang Li, Yi Pan

IEEE ACM Trans. Comput. Biol. Bioinform., 2020

Two novel models and a parthenogenetic algorithm for detecting common driver pathways from pan-cancer data.

Jingli Wu, Ke Pan, Gaoshi Li, Kai Zhu, Qirong Cai

Eng. Appl. Artif. Intell., 2020

2016

Predicting essential proteins based on subcellular localization, orthology and PPI networks.

Gaoshi Li, Min Li, Jianxin Wang, Jingli Wu, Fang-Xiang Wu, Yi Pan

BMC Bioinform., 2016