Author

Tong Cheng

Chinese Academy of Agricultural Sciences

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

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Biology Disciplines

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Bioinformatics· 1 Plant Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Approach:machine learning (classical)· 1 Organism:plant (other)· 1 Assay:snRNA-seq· 1

Frequent Co-Authors

Alison Yu· 1 shared An Yuan· 1 shared Austin Allen· 1 shared Bena Liu· 1 shared Bing JiiD· 1 shared Coco Liu· 1 shared E.C. MaiD· 1 shared Fengnan Li· 1 shared

Activity by Year

2025-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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1 shared paperBioinformatics

Alison Yu

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2 papers

Recent·Most cited

Evaluating large language models in biomedical data science challenges through a classroom experiment

Huifang Ma, Zhicheng Ji, Tara Al-Hashimy, Austin Allen, Nan Cen, Orlando Chen, Yongyin Chen, Yutian Chen, Tong Cheng, Yueqi Gu, Bing Ji, Xiaohui Jiang, Fengnan Li, P J Li, Yueshan Liang, , Y. Zhang

This study evaluates large language models' ability to solve biomedical data science challenges using a classroom experiment on Kaggle, finding they produce competitive results despite not topping leaderboards.

Proceedings of the National Academy of Sciences · Dec 11, 2025Peer-reviewedBioinformatics

MF-PENS: an efficient and versatile nuclear extraction method for plant single-cell sequencing

Lin Du, Qing Liu, Hongling Zhou, Mengyue Zhao, Fuyan Liu, Tong Cheng, Mengjiao Zhang, Hao Yu, Zhe Liang, Jingmin Kang

MF-PENS improves single-nucleus RNA sequencing in plants by efficiently isolating high-quality nuclei from diverse tissues, enhancing gene capture and cell type annotation.

bioRxiv · Mar 14, 2025 · PreprintPlant Biology