Author

Sihong Li

Indiana University School of MedicineORCID 0000-0002-9395-9952Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

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Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Organism:human· 1 Assay:scRNA-seq· 1 Assay:spatial transcriptomics· 1

Frequent Co-Authors

Jie ZhangiD· 1 shared Justin L. CouetiliD· 1 shared Kun HuangiD· 1 shared Travis S. JohnsoniD· 1 shared Ziyu LiuiD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

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5 top collaborators · 10 mutual co-author links

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1 shared paperBioinformatics

Jie ZhangORCID

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1 paper

Recent·Most cited

A novel deep optimal transport framework reveals prostate cancer risk heterogeneity, Alzheimers disease risk heterogeneity, and myeloma cells associated with a short-term sham bortezomib response and progressive disease

Ziyu Liu, Sihong Li, Justin L. Couetil, Jie Zhang, Kun Huang, Travis S. Johnson

The paper introduces DEGASv2, a deep learning framework for analyzing single-cell and spatial transcriptomics data, revealing disease risk heterogeneity and drug response patterns in multiple conditions.

bioRxiv · Feb 3, 2025 · PreprintBioinformatics