allpublication.json

{
    "data":{
		"2024": [
			{
                "title": "PerturBase: a comprehensive database for single-cell perturbation data analysis and visualization",
                "booktitle": "Nucleic Acids Research",
                "authors": "Zhiting Wei*, Duanmiao Si*, Bin Duan*,<b>Yicheng Gao*</b>, Qian Yu, Ling Guo, Qi Liu"
            },
			{
                "title": "Toward subtask decomposition-based learning and benchmarking for genetic perturbation outcome prediction and beyond",
                "booktitle": "Nature Computational Science",
                "authors": "<b>Yicheng Gao*</b>, Zhiting Wei*, Kejing Dong*, Ke Chen*, Jingya Yang, Guohui Chuai, Qi Liu"
            },
            {
                "title": "Delineating the cell types with transcriptional kinetics",
                "booktitle": "Nature Computational Science",
                "authors": "<b>Yicheng Gao</b>, Qi Liu"
            }, 
            {
                "title": "Foundation models in molecular biology",
                "booktitle": "Biophysics Reports",
                "authors": "Yunda Si, Jiawei Zou, <b>Yicheng Gao</b>, Guohui Chuai, Qi Liu"
            },
            {
                "title": "Unified cross-modality integration and analysis of T cell receptors and T cell transcriptomes by low-resource-aware representation learning",
                "booktitle": "Cell Genomics",
                "authors": "<b>Yicheng Gao*</b>, Kejing Dong*, Yuli Gao, Xuan Jin, Jingya Yang, Gang Yan, Qi Liu"
            }
				],
        "2023": [
            {
                "title": "Neo-epitope identification by weakly-supervised peptide-TCR binding prediction",
                "booktitle": "Biorxiv",
                "authors": "Yuli Gao*, <b>Yicheng Gao*</b>, Wannian Li, Siqi Wu, Feiyang Xing, Chi Zhou, Shaliu Fu, Guohui Chuai, Qinchang Chen, He Zhang, Qi Liu"
            },
            {
                "title": "Reply to: The pitfalls of negative data bias for the T-cell epitope specificity challenge",
                "booktitle": "Nature Machine Intelligence",
                "authors": "<b>Yicheng Gao*</b>, Yuli Gao*, Kejing Dong, Siqi Wu, Qi Liu"
            },
            {
                "title": "Pan-Peptide Meta Learning for T-cell receptor–antigen binding recognition",
                "booktitle": "Nature Machine Intelligence",
                "authors": "<b>Yicheng Gao*</b>, Yuli Gao*, Yuxiao Fan, Chengyu Zhu, Zhiting Wei, Chi Zhou, Guohui Chuai, Qinchang Chen, He Zhang, Qi Liu"
            },
            {
                "title": "Privacy-preserving integration of multiple institutional data for single-cell type identification with scPrivacy",
                "booktitle": "Science China Life Sciences",
                "authors": "Shaoqi Chen, Bin Duan, Chenyu Zhu, Chen Tang, Shuguang Wang, <b>Yicheng Gao</b>, Shaliu Fu, Lixin Fan, Qiang Yang, Qi Liu"                
            }
				],
        "2021": [
            {
                "title": "Integrating multiple references for single-cell assignment",
                "booktitle": "Nucleic Acids Research",
                "authors": "Bin Duan, Shaoqi Chen, Xiaohan Chen, Chenyu Zhu, Chen Tang, Shuguang Wang, <b>Yicheng Gao</b>, Shaliu Fu, Qi Liu"
            }
                ],
        "2019": [
            {
                "title": "An ensemble strategy to predict prognosis in ovarian cancer based on gene modules",
                "booktitle": "Frontiers in Genetics",
                "authors": "<b>Yicheng Gao</b>, Xionghui Zhou, Wen Zhang"
            }
                ]	
    }
}