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Gaoshi Li

Showing results (11-20 of 21) with videos related to

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Health Information Science and Systems|March 11, 2024
Identification of cancer driver genes based on hierarchical weak consensus modelGaoshi Li, Zhipeng Hu, Xinlong Luo, et al.
Health Information Science and Systems|November 20, 2023
Essential proteins discovery based on dominance relationship and neighborhood similarity centralityGaoshi Li, Xinlong Luo, Zhipeng Hu, et al.
IEEE Transactions on Computational Biology and Bioinformatics|June 1, 2026
Essential Proteins Prediction Using Features Synergy Model and GO Pure CentralityXinlong Luo, Gaoshi Li, Zhipeng Hu, et al.
International Journal of Molecular Sciences|December 17, 2024
SIGRN: Inferring Gene Regulatory Network with Soft Introspective Variational AutoencodersRongyuan Li, Jingli Wu, Gaoshi Li, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|September 24, 2024
Identification of Cancer Driver Genes based on Dynamic Incentive ModelZhipeng Hu, Gaoshi Li, Xinlong Luo, et al.
IEEE Transactions on Computational Biology and Bioinformatics|August 14, 2025
Using Multi-Feature Weak Consensus Model to Discover Essential ProteinsZhipeng Hu, Gaoshi Li, Xinlong Luo, et al.
IEEE Transactions on Computational Biology and Bioinformatics|March 3, 2026
A Deep Learning Framework for Identifying Essential Proteins Based on Vision TransformerYuqing Mao, Gaoshi Li, Xu Lin, et al.
Bioinformatics (Oxford, England)|March 28, 2025
MNMO: discover driver genes from a multi-omics data based-multi-layer networkZheng Deng, Jingli Wu, Xiaorong Chen, et al.
IEEE Transactions on Computational Biology and Bioinformatics|August 14, 2025
A Deep Learning Framework for Identifying Cancer Driver Genes Based on Transformer and Graph Convolutional NetworkYingying Chen, Gaoshi Li, Tianyi Liu, et al.
IEEE Transactions on Computational Biology and Bioinformatics|August 14, 2025
Identifying Cancer Driver Genes Using a Neural Network Framework with Cross-attention MechanismRui Zhou, Gaoshi Li, Yuqing Mao, et al.
Pageof 3

Showing results (11-20 of 21) with videos related to

Sort By:
Pageof 3
Health Information Science and Systems|March 11, 2024
Identification of cancer driver genes based on hierarchical weak consensus modelGaoshi Li, Zhipeng Hu, Xinlong Luo, et al.
Health Information Science and Systems|November 20, 2023
Essential proteins discovery based on dominance relationship and neighborhood similarity centralityGaoshi Li, Xinlong Luo, Zhipeng Hu, et al.
IEEE Transactions on Computational Biology and Bioinformatics|June 1, 2026
Essential Proteins Prediction Using Features Synergy Model and GO Pure CentralityXinlong Luo, Gaoshi Li, Zhipeng Hu, et al.
International Journal of Molecular Sciences|December 17, 2024
SIGRN: Inferring Gene Regulatory Network with Soft Introspective Variational AutoencodersRongyuan Li, Jingli Wu, Gaoshi Li, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|September 24, 2024
Identification of Cancer Driver Genes based on Dynamic Incentive ModelZhipeng Hu, Gaoshi Li, Xinlong Luo, et al.
IEEE Transactions on Computational Biology and Bioinformatics|August 14, 2025
Using Multi-Feature Weak Consensus Model to Discover Essential ProteinsZhipeng Hu, Gaoshi Li, Xinlong Luo, et al.
IEEE Transactions on Computational Biology and Bioinformatics|March 3, 2026
A Deep Learning Framework for Identifying Essential Proteins Based on Vision TransformerYuqing Mao, Gaoshi Li, Xu Lin, et al.
Bioinformatics (Oxford, England)|March 28, 2025
MNMO: discover driver genes from a multi-omics data based-multi-layer networkZheng Deng, Jingli Wu, Xiaorong Chen, et al.
IEEE Transactions on Computational Biology and Bioinformatics|August 14, 2025
A Deep Learning Framework for Identifying Cancer Driver Genes Based on Transformer and Graph Convolutional NetworkYingying Chen, Gaoshi Li, Tianyi Liu, et al.
IEEE Transactions on Computational Biology and Bioinformatics|August 14, 2025
Identifying Cancer Driver Genes Using a Neural Network Framework with Cross-attention MechanismRui Zhou, Gaoshi Li, Yuqing Mao, et al.
Pageof 3