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Yicheng Gao
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Pan-peptide meta learning for T-cell receptor–antigen binding recognition
Y Gao, Y Gao, Y Fan, C Zhu, Z Wei, C Zhou, G Chuai, Q Chen, H Zhang, ...
Nature Machine Intelligence 5 (3), 236-249, 2023
432023
Integrating multiple references for single-cell assignment
B Duan, S Chen, X Chen, C Zhu, C Tang, S Wang, Y Gao, S Fu, Q Liu
Nucleic acids research 49 (14), e80-e80, 2021
152021
Reply to: The pitfalls of negative data bias for the T-cell epitope specificity challenge
Y Gao, Y Gao, K Dong, S Wu, Q Liu
Nature Machine Intelligence 5 (10), 1063–1065 (2023), 2023
132023
Privacy-preserving integration of multiple institutional data for single-cell type identification with scPrivacy
S Chen, B Duan, C Zhu, C Tang, S Wang, Y Gao, S Fu, L Fan, Q Yang, ...
Science China Life Sciences 66 (5), 1183-1195, 2023
82023
An ensemble strategy to predict prognosis in ovarian cancer based on gene modules
YC Gao, XH Zhou, W Zhang
Frontiers in genetics 10, 447699, 2019
82019
Neo-epitope identification by weakly-supervised peptide-TCR binding prediction
Y Gao, Y Gao, W Li, S Wu, F Xing, C Zhou, S Fu, G Chuai, Q Chen, ...
bioRxiv, 2023.08. 02.550128, 2023
22023
Unified cross-modality integration and analysis of T cell receptors and T cell transcriptomes by low-resource-aware representation learning
Y Gao, K Dong, Y Gao, X Jin, J Yang, G Yan, Q Liu
Cell Genomics, 2024
2024
PerturBase: a comprehensive database for single-cell perturbation data analysis and visualization
Zhiting Wei, Duanmiao Si, Bin Duan, Yicheng Gao, Qian Yu, Ling Guo, Qi Liu
bioRxiv, 2024.02. 03.578767, 2024
2024
Toward subtask decomposition-based learning and benchmarking for genetic perturbation outcome prediction and beyond
Y Gao, Z Wei, K Dong, J Yang, G Chuai, Q Liu
bioRxiv, 2024.01. 17.576034, 2024
2024
Unified cross-modality integration and analysis of T-cell receptors and T-cell transcriptomes
Y Gao, K Dong, Y Gao, X Jin, Q Liu
bioRxiv, 2023.08. 19.553790, 2023
2023
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