Author

Ding Bai

Mohamed bin Zayed University of Artificial IntelligencePrimary ORCID profile (0000-0002-5058-4329 · 1 paper)Unclaimed ORCID profile · follow to get notified of new preprints

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Same name, identified by ORCID

Ding BaiiD1 paper · Chinese Academy of Medical Sciences & Peking Union Medical College

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Research Focus:gene regulatory network inference· 1 Research Focus:perturbation response prediction· 1 Assay:scRNA-seq· 1 Approach:statistical model· 1

Frequent Co-Authors

Eric P. XingiD· 2 shared Caleb N. EllingtoniD· 1 shared Le SongiD· 1 shared Le SongiD· 1 shared Shentong MoiD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

5 top collaborators · 7 mutual co-author links

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2 shared papersBioinformatics

Eric P. XingORCID

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2 papers

Recent·Most cited

PertAdapt: Unlocking Single-Cell Foundation Models for Genetic Perturbation Prediction via Condition-Sensitive Adaptation

Ding Bai, Le Song, Eric P. Xing

PertAdapt improves genetic perturbation prediction by adapting single-cell foundation models with a perturbation adapter and adaptive loss, outperforming non-pretrained baselines across multiple datasets.

Bioinformatics · Jul 1, 2026Peer-reviewedBioinformatics

AttentionPert: Accurately Modeling Multiplexed Genetic Perturbations with Multi-scale Effects

Ding Bai, Caleb N. Ellington, Shentong Mo, Le Song, Eric P. Xing

AttentionPert predicts gene expression under multiplexed genetic perturbations and generalizes to unseen conditions, outperforming existing methods in accuracy and handling diverse perturbations.

Bioinformatics · Jun 28, 2024Peer-reviewedBioinformatics