Author

Feng Liang

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

Same name, identified by ORCID

Biology Disciplines

Click to filter author papers

Cancer Biology· 2

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:cell type annotation· 2 Approach:deep learning· 2 Organism:human· 2 Research Focus:protein folding & dynamics· 2 Research Focus:gene regulatory network inference· 1 Approach:graph neural network· 1 Assay:protein sequence· 1 Assay:protein structure· 1

Frequent Co-Authors

Chenchen Xu· 2 shared Felicia JiangiD· 2 shared Jia XuiD· 2 shared Minghao XuiD· 2 shared Runhao Zhao· 2 shared Taoyong CuiiD· 2 shared Tianli LuoiD· 2 shared Wentao ZhangiD· 2 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersCancer Biology

Chenchen Xu

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Alternative splicing expands and remodels the breast cancer proteoform landscape

Tao Jiang, Dengwang Chen, Xiangeng Wang, Hao Hao, Yinghan Zhang, Runhao Zhao, Feng Liang, Taoyong Cui, Zhenchao Tang, Tianli Luo, Yi Shuai, Minghao Xu, Chenchen Xu, Jia Xu, Wentao Zhang, , Xin Wang

The paper develops 3DisoGalaxy to study alternative splicing in breast cancer, finding that many transcripts produce translation-supported proteins and that functional divergence is concentrated in specific regions.

bioRxiv · Aug 26, 2026 · PreprintCancer Biology

Structure-aware protein function prediction at isoform resolution

Felicia Jiang, Runhao Zhao, Feng Liang, Xiang Zhao, Taoyong Cui, Zhenchao Tang, Y S Zhang, Danyu Chen, minghao Xu, Yi Shuai, Tianli Luo, Xiangeng Wang, Chenchen Xu, Ziwei Wang, Weixin Zeng, , Xin Wang

This study develops a framework for predicting protein function and domain annotation at isoform resolution using structural and sequence data, showing strong performance in benchmark tests and capturing domain changes across isoforms.

bioRxiv · Jun 7, 2026 · PreprintCancer Biology