Author

Dian Li

Harvard UniversityORCID 0000-0002-5374-7314Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Molecular Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Assay:imaging· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Boning ZhangiD· 1 shared Chelsea ShuiD· 1 shared Collin J. TokheimiD· 1 shared Dan Long· 1 shared Dan WangiD· 1 shared Eric S. FischeriD· 1 shared Fenglin Xiong· 1 shared Jiaye CheniD· 1 shared

Activity by Year

2022-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperBioinformatics

Boning ZhangORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

M1 macrophage-mediated lymphangiogenesis aggravates liver fibrosis via MDK/YAP signaling pathway

Dan Wang, Dan Long, Yu Zhao, Dian Li, Fenglin Xiong, Ziwei Huang, Liping Yang, Qing Zheng, Yuehua Chen, Yanni Zhou, L L Feng

The paper shows M1 macrophages drive lymphangiogenesis in liver fibrosis via MDK/YAP signaling, worsening fibrosis.

bioRxiv · May 27, 2026 · PreprintMolecular Biology

Machine learning modeling of protein-intrinsic features predicts tractability of targeted protein degradation

Wubing Zhang, Shourya S. Roy Burman, Jiaye Chen, Katherine A. Donovan, Yang Cao, Chelsea Shu, Boning Zhang, Zexian Zeng, Shengqing Stan Gu, Yi Zhang, Dian Li, Eric S. Fischer, Collin J. Tokheim, X. Shirley Liu

The paper develops a machine learning model to predict protein degradability for targeted protein degradation, identifying key features and extending predictions to the proteome.

Genomics Proteomics & Bioinformatics · Oct 1, 2022Peer-reviewedBioinformatics