Author

Feiyang Xing

Tongji UniversityORCID 0000-0002-7129-1947Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Approach:optimal transport· 1

Frequent Co-Authors

Guohui ChuaiiD· 2 shared Qi LiuiD· 2 shared Shaliu FuiD· 2 shared Siqi WuiD· 2 shared Wannian LiiD· 2 shared Bing He· 1 shared Cheng Zhang· 1 shared Chi ZhouiD· 1 shared

Activity by Year

2023-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 39 mutual co-author links

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2 shared papersBioinformatics

Guohui ChuaiORCID

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2 papers

Recent·Most cited

Towards building a World Model to simulate perturbation-induced cellular dynamics by AlphaCell

Guohui Chuai, Xiaohan Chen, Xingbo Yang, Cheng Zhang, Kairu Qu, Yiheng Wang, Wannian Li, Jingya Yang, Duanmiao Si, Feiyang Xing, Yicheng Gao, Siqi Wu, Shaliu Fu, Bing He, Qi Liu

AlphaCell simulates perturbation-induced cellular dynamics by addressing limitations in current models through three innovations: latent manifold rectification, biological reality reconstruction, and universal state transition.

bioRxiv · Mar 5, 2026 · PreprintBioinformatics

Neo-epitope identification by weakly-supervised peptide-TCR binding prediction

Yuli Gao, Yicheng Gao, Wannian Li, Siqi Wu, Feiyang Xing, Chi Zhou, Shaliu Fu, Guohui Chuai, Qinchang Chen, He Zhang, Qi Liu

This study introduces TCRBagger, a weakly-supervised framework for peptide-TCR binding prediction to improve neo-epitope identification in tumor immunotherapy.

bioRxiv · Aug 2, 2023 · PreprintBioinformatics