Author

Gang Hu

BGI Group (China)

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

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Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:differential expression· 1 Organism:human· 1 Assay:protein sequence· 1 Assay:protein structure· 1 Research Focus:protein structure prediction· 1 Approach:statistical model· 1 Research Focus:variant calling· 1

Frequent Co-Authors

Chaojin WuiD· 1 shared Fuhao Zhang· 1 shared Huifang Lü· 1 shared Jiuxiang Zhu· 1 shared Kailong MaiD· 1 shared Kui WangiD· 1 shared Lukasz KurganiD· 1 shared Min LiiD· 1 shared

Activity by Year

2019-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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1 shared paperBioinformatics

Chaojin WuORCID

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2 papers

Recent·Most cited

PROBind: A Web Server for Prediction, Analysis and Visualization of Protein-Protein and Protein-Nucleic Acid Binding Residues

Chaojin Wu, Fuhao Zhang, Pengzhen Jia, Jiuxiang Zhu, Min Zeng, Gang Hu, Kui Wang, Lukasz Kurgan, Min Li

PROBind predicts, analyzes, and visualizes protein-protein and protein-nucleic acid binding residues using sequence and structure data, integrating multiple predictors and providing interactive tools.

Genomics Proteomics & Bioinformatics · Apr 24, 2026Peer-reviewedBioinformatics

Identification of 12 cancer types through genome deep learning

Yingshuai Sun, Sitao Zhu, Kailong Ma, Weiqing Liu, Yue Yao, Gang Hu, Huifang Lü, Wenbin Chen

This paper introduces GDL, a deep learning method for cancer identification using genomic data, achieving high accuracy in distinguishing 12 cancer types and healthy tissues.

Scientific Reports · Nov 21, 2019Peer-reviewedBioinformatics