Author

Huiyu Cai

Mila - Quebec Artificial Intelligence InstituteORCID 0000-0001-8506-537XUnclaimed ORCID profile · follow to get notified of new preprints

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:clustering· 1 Research Focus:dimensionality reduction· 1 Research Focus:drug response / drug discovery· 1 Research Focus:gene regulatory network inference· 1 Approach:graph neural network· 1 Assay:protein structure· 1

Frequent Co-Authors

Jian TangiD· 2 shared Zuobai ZhangiD· 2 shared Bozitao ZhongiD· 1 shared Mingkai WangiD· 1 shared Quanxiao LiiD· 1 shared Tianlei YingiD· 1 shared Yanling WuiD· 1 shared Yifan ZhaoiD· 1 shared

Activity by Year

2021-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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2 shared papersBioinformatics

Jian TangORCID

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2 papers

Recent·Most cited

BioinformaticsNature CommunicationsPeer-reviewedSep 6, 2024

Pretrainable Geometric Graph Neural Network for Antibody Affinity Maturation

Huiyu Cai, Zuobai Zhang, Mingkai Wang…·Jian Tang

This paper introduces GearBind, a geometric graph neural network for in silico antibody affinity maturation, achieving significant improvements in binding affinity.

56 citationstop 1%

protein structuredeep learning

𝕏 PostBluesky

BioinformaticsNature CommunicationsPeer-reviewedSep 6, 2021

Learning interpretable cellular and gene signature embeddings from single-cell transcriptomic data

Yifan Zhao, Huiyu Cai, Zuobai Zhang…·Yue Li

This paper introduces scETM, a model that learns interpretable gene and cell type embeddings from scRNA-seq data, showing cross-tissue and cross-species transferability.

90 citationstop 3%

scRNA-seqdeep learning

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