Author

Yanfeng Wang

Shanghai Jiao Tong University

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· 3 Cell Biology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 3 Research Focus:drug response / drug discovery· 3 Approach:contrastive learning· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Organism:human· 1 Assay:imaging· 1

Frequent Co-Authors

Xiaoman ZhangiD· 3 shared Weidi Xie· 2 shared Weidi XieiD· 2 shared Yuze Sun· 2 shared Chaoyi WuiD· 1 shared Hanzheng LiiD· 1 shared Jian Zhang· 1 shared Jianming Zhang· 1 shared

Activity by Year

2026-2026 · peak 4/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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3 shared papersBioinformatics

Xiaoman ZhangORCID

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Author profile →

4 papers

Recent·Most cited

RELAY: Relational In-Context Learning for Cellular Perturbation Prediction

Yuze Sun, Jinghao Feng, Yanfeng Wang, Weidi Xie, Ya Zhang, Xiaoman Zhang

RELAY predicts cellular responses to perturbations by learning relational patterns from measured data, outperforming existing methods on unseen variable values and combinations.

bioRxiv · Nov 3, 2026 · PreprintCell Biology

ASOCompass: Context- and Chemistry-Aware Activity Prediction for Transferable Antisense Oligonucleotide Screening

Shuyu Liu, Jin Zhuo, Shuchang Lei, Tianhao Wu, Jiaxuan Han, Chaoyi Wu, Yanfeng Wang, Weidi Xie

ASOCompass predicts ASO activity by integrating sequence, chemistry, and biological context, achieving higher correlation than baselines across diverse conditions.

bioRxiv · Aug 7, 2026 · PreprintBioinformatics

Phenotypic Bioactivity Prediction as Open-set Biological Assay Querying

Yuze Sun, Xiaoman Zhang, Qiaoyu Zheng, Hanzheng Li, Jianming Zhang, Liang Hong, Yanfeng Wang, Ya Zhang, Weidi Xie

This paper introduces OpenPheno, a multimodal model that predicts bioactivity using phenotypic profiles and natural language descriptions, achieving strong zero-shot performance on unseen assays.

bioRxiv · Mar 3, 2026 · PreprintBioinformatics

MAP: A Knowledge-driven Framework for Predicting Single-cell Responses for Unprofiled Drugs

Jinghao Feng, Ziheng Zhao, Xiaoman Zhang, Mingfei Liu, Jingyi Chen, Xingran Quan, Jian Zhang, Yanfeng Wang, Ya Ping Zhang, Weidi Xie

MAP predicts single-cell responses to unprofiled drugs using a knowledge-driven framework that integrates biological knowledge and improves performance over baselines.

bioRxiv · Feb 27, 2026 · PreprintBioinformatics