Author

Kunshi Li

Shanghai Institute of Nutrition and Health

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· 1 Cancer Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:batch correction / integration· 1 Research Focus:cell-cell communication· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Approach:graph neural network· 1 Approach:machine learning (classical)· 1 Approach:optimal transport· 1 Research Focus:spatial domain detection· 1

Frequent Co-Authors

Hong LiiD· 2 shared Zhixuan TangiD· 2 shared Baihua WuiD· 1 shared Bihan SheniD· 1 shared Fangyoumin FengiD· 1 shared Gangqi WangiD· 1 shared Haitao Nan· 1 shared Heqi WangiD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 30 mutual co-author links

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2 shared papersBioinformatics

Hong LiORCID

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2 papers

Recent·Most cited

SPCoral: diagonal integration of spatial multi-omics across diverse modalities and technologies

Heqi Wang, Jiao Yuan, Kunshi Li, Xi Chen, Xi Yan, Ping Lin, Zhixuan Tang, Baihua Wu, Haitao Nan, Yiwei Lai, Yuan Lv, Miguel Angel Esteban, Lu Xie, Gangqi Wang, Lijian Hui, Hong Li

SPCoral integrates spatial multi-omics data across different modalities and technologies, improving spatial domain identification and cross-modal analysis.

bioRxiv · Feb 4, 2026 · PreprintBioinformatics

Dual-view jointly learning improves personalized drug synergy prediction

Xueliang Li, Bihan Shen, Fangyoumin Feng, Kunshi Li, Zhixuan Tang, Liangxiao Ma, Hong Li

This paper introduces JointSyn, a dual-view learning method for predicting drug synergy, showing improved accuracy and generalization across datasets.

Bioinformatics · Oct 1, 2024Peer-reviewedCancer Biology