Author

Yige Zhao

Columbia University Irving Medical CenterORCID 0000-0003-4876-1573Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Genetic & Genomic Medicine· 1

Signature Assays, Organisms & Methods

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Research Focus:variant effect prediction· 2 Research Focus:benchmarking· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Approach:graph neural network· 1 Organism:human· 1 Research Focus:protein design· 1

Frequent Co-Authors

Guojie ZhongiD· 2 shared Wendy K. ChungiD· 2 shared Yufeng SheniD· 2 shared Demi Zhuang· 1 shared Hongbing Pan· 1 shared Jake Hagen· 1 shared Tian LaniD· 1 shared

Activity by Year

2025-2025 · peak 2/yr

Co-Author Collaboration Network

7 top collaborators · 18 mutual co-author links

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2 shared papersBioinformatics

Guojie ZhongORCID

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2 papers

Recent·Most cited

BioinformaticsNature CommunicationsPeer-reviewedAug 5, 2025

PreMode predicts mode-of-action of missense variants by deep graph representation learning of protein sequence and structural context

Guojie Zhong, Yige Zhao, Demi Zhuang…·Yufeng Shen

PreMode predicts the mode-of-action of missense variants using graph neural networks, achieving state-of-the-art performance in mode-of-action classification.

15 citationstop 1%

protein sequenceprotein structure

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Genetic & Genomic MedicineNature CommunicationsPeer-reviewedMay 20, 2025

A probabilistic graphical model for estimating selection coefficient of missense variants from human population sequence data

Yige Zhao, Tian Lan, Guojie Zhong…·Yufeng Shen

The paper introduces MisFit, a probabilistic graphical model to estimate selection coefficients of missense variants using population sequence data, showing improved performance in prioritizing disease-associated variants.

10 citationstop 4%

humanwhole-genome sequencing

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