Author

Linrong Lu

Shanghai Jiao Tong UniversityORCID 0000-0002-0171-4115Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 2 Assay:scRNA-seq· 2 Approach:benchmark study· 1 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:database / resource· 1 Approach:deep learning· 1 Research Focus:differential expression· 1

Frequent Co-Authors

Bing HeiD· 2 shared Jianhua YaoiD· 2 shared Lize WuiD· 2 shared Ruonan TianiD· 2 shared Wanlu LiuiD· 2 shared Yu Shan ZhaoiD· 2 shared Ziwei XueiD· 2 shared Bing Xin GaoiD· 1 shared

Activity by Year

2024-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 43 mutual co-author links

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2 shared papersBioinformatics

Bing HeORCID

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2 papers

Recent·Most cited

Disease associated human TCR characterization by deep-learning framework TCR-DeepInsight

Ziwei Xue, Lize Wu, Bing Xin Gao, Ruonan Tian, Yiru Chen, Yicheng Qi, Tianze Dong, Yadan Bai, Yu Shan Zhao, Bing He, Lie Wang, Zuozhu Liu, Jianhua Yao, Linrong Lu, Wanlu Liu

The paper constructs a single-cell GEX-TCR reference atlas and introduces TCR-DeepInsight, a deep-learning framework to characterize disease-associated TCRs.

Cell Discovery · Oct 14, 2025Peer-reviewedBioinformatics

Evaluation of T Cell Receptor Construction Methods from scRNA-Seq Data

Ruonan Tian, Zhejian Yu, Ziwei Xue, Jiaxin Wu, Lize Wu, Shuo Cai, Bing Zhao Gao, Bing He, Yu Shan Zhao, Jianhua Yao, Linrong Lu, Wanlu Liu

The paper benchmarks TCR reconstruction methods from scRNA-seq data, finding TRUST4 performs best, while sequencing depth limits accuracy.

Genomics Proteomics & Bioinformatics · Dec 1, 2024Peer-reviewedBioinformatics