Author

Wenhao Liu

Chinese Academy of Sciences

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

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Biology Disciplines

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Bioinformatics· 2 Cancer Biology· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Assay:imaging· 1

Frequent Co-Authors

Guihai FengiD· 2 shared Guole LiuiD· 2 shared Xin LiiD· 2 shared Yana LiuiD· 2 shared Yuanchun ZhouiD· 2 shared Chen FangiD· 1 shared Chen YaoiD· 1 shared Cong LiiD· 1 shared

Activity by Year

2023-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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2 shared papersBioinformatics

Guihai FengORCID

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Author profile →

3 papers

Recent·Most cited

Development of Integrin α5β1-targeted PET/NIR imaging probes for glioblastoma intraoperative navigation and intracavity targeted radionuclide therapy

Siqi Zhang, Jieting Shen, Yiming Li, Xuekai Song, Wenhao Liu, Hongyi Huang, Jiang Wu, Liu Cj, Mengjie Yang, Liang Xu, Dengfu Wu, Zhong Zhang, Feng, Y.‐W. ZHANG, Rui Wang, Kuan Hu

This paper develops integrin α5β1-targeted PET/NIR imaging probes for glioblastoma surgery and radionuclide therapy, showing improved tumor resection and reduced recurrence.

bioRxiv · Jan 12, 2026 · PreprintCancer Biology

Cell-Graph Compass: Modeling Single Cells with Graph Structure Foundation Model

Chen Fang, Wentao Cui, Zhilong Hu, Wenhao Liu, Shubai Chen, Shaole Chang, Qingqing Long, Cong Li, Yana Liu, Haiping Jiang, Pengfei Wang, Jia Pan, Guoping Hu, Guole Liu, Zhen Meng, , Xin Li

Cell-Graph Compass (CGC) is a foundation model that uses graph structures to represent single cells, capturing multiple biological perspectives and achieving state-of-the-art results in downstream tasks.

National Science Review · Jun 24, 2025Peer-reviewedBioinformatics

CellPolaris: Decoding Cell Fate through Generalization Transfer Learning of Gene Regulatory Networks

Guihai Feng, Xin Qin, Jiahao Zhang, Wuliang Huang, Yiyang Zhang, Wentao Cui, Shirui Li, Chen Yao, Wenhao Liu, Yao Tian, Yana Liu, Jingxi Dong, Ping Xu, Zhenpeng Man, Guole Liu, , Xin Li

CellPolaris uses transfer learning to generate cell-type-specific gene regulatory networks from transcriptomic data, achieving state-of-the-art results in predicting regulatory factors and simulating cell fate transitions.

bioRxiv · Sep 25, 2023 · PreprintBioinformatics