Author

Weiqiang Bai

Chinese University of Hong Kong

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

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Assay:DNA methylation· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Assay:ChIP-seq· 1 Research Focus:clustering· 1 Research Focus:deconvolution· 1 Research Focus:differential expression· 1

Frequent Co-Authors

Chaoqi Liang· 2 shared Jianle SuniD· 2 shared Peng YeiD· 2 shared Peng ZhengiD· 2 shared Wanli OuyangiD· 2 shared Xinzhu MaiD· 2 shared Yuchen ReniD· 2 shared Hong-Liang YaniD· 1 shared

Activity by Year

2024-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 43 mutual co-author links

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2 shared papersBioinformatics

Chaoqi Liang

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2 papers

Recent·Most cited

scDNAm-GPT Captures Genome-wide CpG Dependencies in Single-cell DNA methylomes to Revolutionize Epigenetic Analysis

Chaoqi Liang, Peng Ye, Hongliang Yan, Peng Zheng, Jianle Sun, Yanni Wang, Yu Li, Yuchen Ren, Yuanpei Jiang, Ran Wei, Junjia Xiang, Sizhe Zhang, Linle Jiang, Weiqiang Bai, Xinzhu Ma, , Jia Li

scDNAm-GPT is a foundation model for single-cell DNA methylation analysis that improves clustering, trajectory inference, and deconvolution using context-aware tokenization and attention mechanisms.

bioRxiv · Feb 19, 2025 · PreprintBioinformatics

Genomics-FM: Universal Foundation Model for Versatile andData-Efficient Functional Genomic Analysis

Peng Ye, Weiqiang Bai, Yuchen Ren, Wenran Li, Lifeng Qiao, Chaoqi Liang, Linxiao Wang, Yuchen Cai, Jianle Sun, Zejun Yang, Peng Zheng, Nanqing Dong, Tao Chen, Zhihui Wang, Xihui Liu, , Wanli Ouyang

Genomics-FM is a foundation model that reduces reliance on labeled data and outperforms existing models in genome annotation, epigenomic prediction, and variant effect assessment.

bioRxiv · Jul 16, 2024 · PreprintBioinformatics