Author

Hai Yang

East China University of Science and TechnologyORCID 0000-0002-1161-4337Unclaimed ORCID profile · follow to get notified of new preprints

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Hai Yang2 papers · Gilead Sciences (United States)

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 2 Research Focus:drug response / drug discovery· 2 Research Focus:gene regulatory network inference· 2 Organism:human· 2 Research Focus:variant calling· 2 Assay:whole-exome sequencing· 2 Assay:whole-genome sequencing· 2 Assay:bulk RNA-seq· 1

Frequent Co-Authors

Dongdong LiiD· 2 shared Jing ZhangiD· 2 shared Zhe WangiD· 2 shared Dan ZhouiD· 1 shared Lei ZhangiD· 1 shared Lipeng Gan· 1 shared Rui CheniD· 1 shared Yijing YangiD· 1 shared

Activity by Year

2022-2025 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 28 mutual co-author links

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2 shared papersBioinformatics

Dongdong LiORCID

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2 papers

Recent·Most cited

Trans-Driver: a deep learning approach for cancer driver gene discovery with multi-omics data

Hai Yang, Zhenbei Yang, Lei Zhang, Yijing Yang, Dan Zhou, Dongdong Li, Jing Zhang, Zhe Wang

Trans-Driver identifies 185 candidate cancer driver genes from 20,000 protein-coding genes using multi-omics data integration, outperforming single-omics methods.

IEEE Transactions on Computational Biology and Bioinformatics · Sep 19, 2025Peer-reviewedBioinformatics

From multi-omics data to the cancer druggable genediscovery: a novel machine learning-based approach

Hai Yang, Lipeng Gan, Rui Chen, Dongdong Li, Jing Zhang, Zhe Wang

This paper introduces DF-CAGE, a machine learning method that identifies cancer-druggable genes using multi-omics data from TCGA, finding 465 potential targets and highlighting the importance of CNAs and mutations.

Briefings in Bioinformatics · Nov 9, 2022Peer-reviewedBioinformatics