Author

Gang Yu

Ludwig-Maximilians-Universität München

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Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Assay:scRNA-seq· 2 Approach:deep learning· 1 Research Focus:dimensionality reduction· 1 Organism:human· 1 Assay:scATAC-seq· 1 Assay:spatial transcriptomics· 1 Research Focus:trajectory inference· 1

Frequent Co-Authors

Alex Kong· 1 shared Johanna KlughammeriD· 1 shared Junyao Jiang· 1 shared Simon MagesiD· 1 shared Timothy J.S. RamnarineiD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

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5 top collaborators · 4 mutual co-author links

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1 shared paperBioinformatics

Alex Kong

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2 papers

Recent·Most cited

Ageas enables time-agnostic cell fate inference from single-cell and spatial multi-omics data

Junyao Jiang, Alex Kong, Gang Yu

Ageas infers cell fate from static single-cell and spatial multi-omics data without time-resolved measurements, revealing spatial fate gradients in human embryos.

bioRxiv · Sep 3, 2026 · PreprintBioinformatics

scDynOmics: An Optimized Transformer Model for Representation Learning from Single-Cell Multiomics

Gang Yu, Timothy J.S. Ramnarine, Johanna Klughammer, Simon Mages

scDynOmics is a transformer model for single-cell multiomics data that outperforms existing models and provides interpretable insights into cellular dynamics.

bioRxiv · May 24, 2026 · PreprintBioinformatics