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Nature Communications
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September 12, 2025
Author Correction: Causal disentanglement for single-cell representations and controllable counterfactual generation
Yicheng Gao, Kejing Dong, Caihua Shan, et al.
Nature Communications
|
July 23, 2025
Causal disentanglement for single-cell representations and controllable counterfactual generation
Yicheng Gao, Kejing Dong, Caihua Shan, et al.
Nature Computational Science
|
September 28, 2024
Toward subtask-decomposition-based learning and benchmarking for predicting genetic perturbation outcomes and beyond
Yicheng Gao, Zhiting Wei, Kejing Dong, et al.
Cell Genomics
|
April 30, 2024
Unified cross-modality integration and analysis of T cell receptors and T cell transcriptomes by low-resource-aware representation learning
Yicheng Gao, Kejing Dong, Yuli Gao, et al.
Cell Genomics
|
June 6, 2025
SpaLinker identifies phenotype-associated spatial tumor microenvironment features by integrating bulk and spatial sequencing data
Xiaojie Cheng, Chen Tang, Kejing Dong, et al.
Cell Systems
|
September 23, 2025
Weakly supervised peptide-TCR binding prediction facilitates neoantigen identification
Yuli Gao, Yicheng Gao, Siqi Wu, et al.
Cancer Immunology, Immunotherapy : CII
|
March 13, 2023
CiTSA: a comprehensive platform provides experimentally supported signatures of cancer immunotherapy and analysis tools based on bulk and scRNA-seq data
Feng Li, Kejing Dong, Chunlong Zhang, et al.
Genome Biology
|
September 30, 2025
Benchmarking multi-slice integration and downstream applications in spatial transcriptomics data analysis
Kejing Dong, Yicheng Gao, Qi Zou, et al.
Nature Methods
|
December 11, 2025
Benchmarking algorithms for generalizable single-cell perturbation response prediction
Zhiting Wei, Yiheng Wang, Yicheng Gao, et al.
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Search research articles
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Showing results (1-10 of 9) with videos related to
Sort By:
Page
of 1
Nature Communications
|
September 12, 2025
Author Correction: Causal disentanglement for single-cell representations and controllable counterfactual generation
Yicheng Gao, Kejing Dong, Caihua Shan, et al.
Nature Communications
|
July 23, 2025
Causal disentanglement for single-cell representations and controllable counterfactual generation
Yicheng Gao, Kejing Dong, Caihua Shan, et al.
Nature Computational Science
|
September 28, 2024
Toward subtask-decomposition-based learning and benchmarking for predicting genetic perturbation outcomes and beyond
Yicheng Gao, Zhiting Wei, Kejing Dong, et al.
Cell Genomics
|
April 30, 2024
Unified cross-modality integration and analysis of T cell receptors and T cell transcriptomes by low-resource-aware representation learning
Yicheng Gao, Kejing Dong, Yuli Gao, et al.
Cell Genomics
|
June 6, 2025
SpaLinker identifies phenotype-associated spatial tumor microenvironment features by integrating bulk and spatial sequencing data
Xiaojie Cheng, Chen Tang, Kejing Dong, et al.
Cell Systems
|
September 23, 2025
Weakly supervised peptide-TCR binding prediction facilitates neoantigen identification
Yuli Gao, Yicheng Gao, Siqi Wu, et al.
Cancer Immunology, Immunotherapy : CII
|
March 13, 2023
CiTSA: a comprehensive platform provides experimentally supported signatures of cancer immunotherapy and analysis tools based on bulk and scRNA-seq data
Feng Li, Kejing Dong, Chunlong Zhang, et al.
Genome Biology
|
September 30, 2025
Benchmarking multi-slice integration and downstream applications in spatial transcriptomics data analysis
Kejing Dong, Yicheng Gao, Qi Zou, et al.
Nature Methods
|
December 11, 2025
Benchmarking algorithms for generalizable single-cell perturbation response prediction
Zhiting Wei, Yiheng Wang, Yicheng Gao, et al.
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of 1