Author

Wenjing Ma

Chinese University of Hong Kong, Shenzhen

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

Signature Assays, Organisms & Methods

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Approach:contrastive learning· 1 Approach:deep learning· 1 Research Focus:perturbation response prediction· 1 Assay:protein sequence· 1 Assay:scRNA-seq· 1 Research Focus:sequence-to-function modeling· 1 Approach:statistical model· 1 Approach:variational autoencoder· 1

Frequent Co-Authors

Shiyu WangiD· 1 shared Shuguang Robert CuiiD· 1 shared Shuguang YuaniD· 1 shared Yosef Kristian Tirta· 1 shared Yuchen Xiong· 1 shared Yuedian Ye· 1 shared Yuning You· 1 shared Zhenquan Hu· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

9 top collaborators · 16 mutual co-author links

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1 shared paperBioinformatics

Shiyu WangORCID

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2 papers

Recent·Most cited

GLOM TGITO: multiscale protein modelling and multiview landscape-guided sequence discovery

Yuchen Xiong, Yosef Kristian Tirta, Shiyu Wang, Zhenquan Hu, Wenjing Ma, Shuguang Yuan

The paper introduces GLOM-TGITO, a method for protein design that combines multiscale modeling with multiview landscape-guided optimization, achieving high accuracy and novel sequence discovery.

bioRxiv · Nov 1, 2026 · PreprintBioinformatics

How Much Can AI Virtual Cells Gain from Unified Perturbational Modeling?

魏宗婷, Yuedian Ye, Shuguang Robert Cui, Wenjing Ma, Yuning You

This paper evaluates how unified perturbational modeling improves AI virtual cell predictors by integrating heterogeneous Perturb-seq datasets and achieving better performance across benchmarks.

bioRxiv · Oct 27, 2026 · PreprintBioinformatics