Author

Yufan Liu

King Abdullah University of Science and TechnologyORCID 0009-0007-8781-0282Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Yufan Liu1 paper · University of Hong Kong

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Approach:contrastive learning· 1 Research Focus:database / resource· 1 Research Focus:differential expression· 1 Organism:human· 1 Assay:imaging· 1

Frequent Co-Authors

Aaron T. MayeriD· 1 shared Alexandro E. TrevinoiD· 1 shared Cheng JiniD· 1 shared Hao CheniD· 1 shared Lequan Yu· 1 shared Oded Falik· 1 shared Peter Chou· 1 shared Ruibang LuoiD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

Aaron T. MayerORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintNov 4, 2026

Generalizable virtual staining from histopathology to spatial proteomics across biological scales

Yufan Liu, Oded Falik, Zihan Zhong…·Zhenqin Wu

This study introduces QUEST, a model that uses H&E histology to predict spatial protein expression, enabling virtual staining and analysis across biological scales.

DOI 10.64898/2026.11.02.763811

humanspatial transcriptomics

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BioinformaticsbioRxivPreprintOct 12, 2024

Exploring Protein-DNA Binding Residue Prediction and Consistent Interpretability Analysis Using Deep Learning

This study introduces a sequence-based deep learning method for predicting DNA-binding residues, outperforming existing models and demonstrating interpretability through contrastive learning and graph neural networks.

DOI 10.1101/2024.10.12.613667

protein sequencedeep learning

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