Author

Hongbing Pan

Columbia 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· 1 Genetic & Genomic Medicine· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Research Focus:variant effect prediction· 2 Research Focus:benchmarking· 1 Approach:deep learning· 1 Assay:protein sequence· 1 Approach:statistical model· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Wendy K. ChungiD· 2 shared Yufeng SheniD· 2 shared Alan Tian· 1 shared Guojie ZhongiD· 1 shared Jake Hagen· 1 shared Tian LaniD· 1 shared Xiao FaniD· 1 shared Yige ZhaoiD· 1 shared

Activity by Year

2022-2025 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 20 mutual co-author links

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2 shared papersGenetic & Genomic Medicine

Wendy K. ChungORCID

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2 papers

Recent·Most cited

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

Yige Zhao, Tian Lan, Guojie Zhong, Jake Hagen, Hongbing Pan, Wendy K. Chung, 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.

Nature Communications · May 20, 2025Peer-reviewedGenetic & Genomic Medicine

SHINE: Protein Language Model based Pathogenicity Prediction for Inframe Insertion and Deletion Variants

Xiao Fan, Hongbing Pan, Alan Tian, Wendy K. Chung, Yufeng Shen

SHINE uses protein language models to predict pathogenicity of inframe insertion and deletion variants, outperforming existing methods in two test datasets.

Briefings in Bioinformatics · Dec 3, 2022Peer-reviewedBioinformatics