Author

Tung-Yu Wu

Stanford University

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 Bioengineering· 1

Signature Assays, Organisms & Methods

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Assay:scATAC-seq· 2 Assay:scRNA-seq· 2 Research Focus:batch correction / integration· 1 Research Focus:cell type annotation· 1 Research Focus:database / resource· 1 Approach:deep learning· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Jean Yee Hwa YangiD· 2 shared Sheng WaniD· 2 shared Wing Hung WongiD· 2 shared Y. X. Rachel WangiD· 2 shared Yingxin LiniD· 2 shared Arjun DebiD· 1 shared Brian Chao· 1 shared Jingxue XiniD· 1 shared

Activity by Year

2022-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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2 shared papersBioinformatics

Jean Yee Hwa YangORCID

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3 papers

Recent·Most cited

Label-Free Optical Mapping for Large-Area Biomechanical Dynamics of Multicellular Systems

Yen-Ju Lin, Xing Haw Marvin Tan, Yijie Wang, Pei‐Shan Chung, Xiang Zhang, Ting‐Hsiang Wu, Tung-Yu Wu, Arjun Deb, Pei-Yu Eric Chiou

This paper introduces a label-free optical mapping platform for large-area biomechanical dynamics of multicellular systems, achieving high spatiotemporal resolution and long-term observations.

Biosensors and Bioelectronics · Jun 14, 2024Peer-reviewedBioengineering

scTIE: data integration and inference of gene regulation using single-cell temporal multimodal data

Yingxin Lin, Tung-Yu Wu, Xi Xian Chen, Sheng Wan, Brian Chao, Jingxue Xin, Jean Yee Hwa Yang, Wing Hung Wong, Y. X. Rachel Wang

scTIE integrates temporal multimodal data and infers gene regulatory relationships predictive of cellular state changes, outperforming existing methods in data integration and biological signal preservation.

Genome Research · Jan 1, 2024Peer-reviewedBioinformatics

scJoint: transfer learning for data integration of atlas-scale single-cell RNA-seq and ATAC-seq

Yingxin Lin, Tung-Yu Wu, Sheng Wan, Jean Yee Hwa Yang, Wing Hung Wong, Y. X. Rachel Wang

scJoint integrates atlas-scale scRNA-seq and scATAC-seq data using transfer learning, achieving higher cell type accuracy and joint visualizations than existing methods.

Nature Biotechnology · Jan 20, 2022Peer-reviewedBioinformatics