Author

Jingyi Tian

Xiamen University

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

Biology Disciplines

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Bioinformatics· 3

Signature Assays, Organisms & Methods

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Organism:human· 3 Research Focus:clustering· 2 Research Focus:database / resource· 2 Research Focus:differential expression· 2 Assay:scRNA-seq· 2 Approach:statistical model· 2 Research Focus:cell-cell communication· 1 Research Focus:dimensionality reduction· 1

Frequent Co-Authors

Chenyu Liang· 2 shared Huaqiang HuangiD· 2 shared Jialiang HuangiD· 2 shared Mengsha Tong· 2 shared Shijie LuoiD· 2 shared Yuxiang LiniD· 2 shared Zheyang ZhangiD· 2 shared Ao CheniD· 1 shared

Activity by Year

2022-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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2 shared papersBioinformatics

Chenyu Liang

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Author profile →

3 papers

Recent·Most cited

SCIITensor: A tensor decomposition based algorithm to construct actionable TME modules with spatially resolved intercellular communications

Huaqiang Huang, Chuandong Liu, Xin Liu, Jingyi Tian, Feng Xi, Mei Li, Guibo Li, Ao Chen, Xun Xu, Sha Liao, Jiajun Zhang, Xing Liu

SCIITensor constructs actionable TME modules by analyzing spatially resolved intercellular communications in ST data, identifying immunosuppressive patterns and sample-common immune-infiltration modules.

bioRxiv · May 21, 2024 · PreprintBioinformatics

Prioritizing prognostic-associated subpopulations and individualized recurrence risk signatures from single-cell transcriptomes of colorectal cancer

Mengsha Tong, Yuxiang Lin, Wenxian Yang, Jinsheng Song, Zheyang Zhang, Jiajing Xie, Jingyi Tian, Shijie Luo, Chenyu Liang, Jialiang Huang, Rongshan Yu

The paper identifies prognostic-associated subpopulations and develops recurrence risk signatures from scRNA-seq data of colorectal cancer using a rank-based framework.

Briefings in Bioinformatics · Mar 22, 2023Peer-reviewedBioinformatics

Integrated analysis of single-cell transcriptome of liver cancer and cirrhosis reveals cell lineage similarity and prognostic-associated subpopulations

Mengsha Tong, Shijie Luo, Lin Gu, Zheyang Zhang, Chenyu Liang, Jingyi Tian, Huaqiang Huang, Yuxiang Lin, Jialiang Huang

The paper integrates single-cell transcriptome data from liver samples to identify cell lineage similarities and prognostic subpopulations between cirrhosis and liver cancer.

bioRxiv · Nov 3, 2022 · PreprintBioinformatics