Author

Mingnan Yao

University of Michigan;

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· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Approach:contrastive learning· 1 Approach:deep learning· 1 Research Focus:dimensionality reduction· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Assay:multiome· 1 Assay:scATAC-seq· 1

Frequent Co-Authors

Ha T.H. VuiD· 1 shared Haoxuan ZengiD· 1 shared Haoyun Zhang· 1 shared Jiajun ZhuiD· 1 shared Jie LiuiD· 1 shared Kai LiuiD· 1 shared Mengdong Liang· 1 shared Shuibing CheniD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

Ha T.H. VuORCID

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1 paper

Recent·Most cited

A single-cell multimodal foundation model enables cross modality analysis between transcriptome and chromatin

Xinyu Bao, Jiajun Zhu, Xiangchen Song, Xiaoshan Zhang, Haoxuan Zeng, Ha T.H. Vu, Haoyun Zhang, Zheyu Zhang, Mingnan Yao, Mengdong Liang, Kai Liu, Stephen CJ Parker, Shuibing Chen, Jie Liu

MUTUAL enables cross-modality analysis between transcriptome and chromatin by learning a shared RNA-ATAC space from multiome data without refitting.

bioRxiv · Nov 2, 2026 · PreprintBioinformatics