Author

Lun Hu

Chinese Academy of SciencesORCID 0000-0002-1591-8549Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:drug response / drug discovery· 2 Approach:graph neural network· 2 Research Focus:benchmarking· 1 Approach:deep learning· 1 Approach:statistical model· 1

Frequent Co-Authors

Bo-Wei ZhaoiD· 2 shared Pengwei HuiD· 2 shared Xiaorui SuiD· 2 shared Xi ZhouiD· 1 shared Yu-Peng Ma· 1 shared Zhu‐Hong YouiD· 1 shared

Activity by Year

2022-2022 · peak 2/yr

Co-Author Collaboration Network

6 top collaborators · 13 mutual co-author links

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2 shared papersBioinformatics

Bo-Wei ZhaoORCID

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2 papers

Recent·Most cited

A geometric deep learning framework for drug repositioning over heterogeneous information networks

Bo-Wei Zhao, Xiaorui Su, Pengwei Hu, Yu-Peng Ma, Xi Zhou, Lun Hu

This paper introduces a geometric deep learning framework for drug repositioning that leverages heterogeneous information networks to predict drug-disease associations.

Briefings in Bioinformatics · Aug 24, 2022Peer-reviewedBioinformatics

An improved graph representation learning method for drug-target interaction prediction over heterogeneous biological information graph

Bo-Wei Zhao, Xiaorui Su, Zhu‐Hong You, Pengwei Hu, Lun Hu

The paper proposes iGRLDTI, a graph representation learning method for drug-target interaction prediction, achieving better performance than existing models on benchmark datasets.

bioRxiv · Jun 30, 2022 · PreprintBioinformatics