Author

Hongru Zhao

University of Florida

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· 2

Signature Assays, Organisms & Methods

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Approach:graph neural network· 2 Organism:human· 2 Approach:deep learning· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Mingyi XieiD· 2 shared Rui YiniD· 2 shared Carl YangiD· 1 shared Jiang BianiD· 1 shared Jie Xu· 1 shared Li LüiD· 1 shared Lin LiiD· 1 shared Lu Li· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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2 shared papersBioinformatics

Mingyi XieORCID

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2 papers

Recent·Most cited

GIN-CRC-Pareto: A graph-based Pareto-optimal multi-task learning framework to identify miRNA-target interactions in colorectal cancer

Lin Li, Qiang Yang, Lu Li, Hongru Zhao, Jie Xu, Mingyi Xie, Rui Yin

GIN-CRC-Pareto identifies miRNA-target interactions in colorectal cancer using a graph-based multi-task learning framework, outperforming existing methods in accuracy and AUC.

Journal of Biomedical Informatics · Sep 6, 2026Peer-reviewedBioinformatics

Gra-CRC-miRTar: The pre-trained nucleotide-to-graph neural networks to identify potential miRNA targets in colorectal cancer

Rui Yin, Hongru Zhao, Li Lü, Qifeng Yang, Min Zeng, Carl Yang, Jiang Bian, Mingyi Xie

Gra-CRC-miRTar is a pre-trained graph neural network framework for identifying miRNA targets in colorectal cancer, achieving better performance than existing methods and revealing functional interactions.

Computational and Structural Biotechnology Journal · Jul 17, 2024Peer-reviewedBioinformatics