Author

Bihan Shen

Shanghai Institute of Nutrition and HealthORCID 0000-0003-4592-2554Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Cancer Biology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:drug response / drug discovery· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Organism:mouse· 1 Assay:scATAC-seq· 1 Assay:scRNA-seq· 1

Frequent Co-Authors

Hong LiiD· 2 shared Zhixuan TangiD· 2 shared Fangyoumin FengiD· 1 shared Haibing ZhangiD· 1 shared Heqi WangiD· 1 shared Kunshi Li· 1 shared Liangxiao MaiD· 1 shared P Lin· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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2 shared papersBioinformatics

Hong LiORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintFeb 6, 2026

Decomposing multi-scale dynamic regulation from single-cell multiomics with scMagnify

Xufeng Chen, Xi Yan, Bihan Shen…·Hong Li

scMagnify decomposes multi-scale gene regulatory networks from single-cell multiomics data, revealing regulatory logic in development and disease.

DOI 10.64898/2026.02.03.703669

𝕏 PostBluesky

Cancer BiologyBioinformaticsPeer-reviewedOct 1, 2024

Dual-view jointly learning improves personalized drug synergy prediction

Xueliang Li, Bihan Shen, Fangyoumin Feng…·Hong Li

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

20 citations

deep learningdrug response / drug discovery

𝕏 PostBluesky