Author

Yudai Matsuda

City University of Hong KongORCID 0000-0001-5650-4732Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:differential expression· 1 Assay:DNA methylation· 1 Research Focus:drug response / drug discovery· 1 Research Focus:gene regulatory network inference· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Linqi SongiD· 2 shared Zerui YangiD· 2 shared Wei ShaoiD· 1 shared Yinqiao LiiD· 1 shared

Activity by Year

2024-2025 · peak 1/yr

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4 top collaborators · 5 mutual co-author links

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2 shared papersBioinformatics

Linqi SongORCID

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2 papers

Recent·Most cited

BioinformaticsLecture notes in computer sciencePeer-reviewedJan 1, 2025

HMG-DTI: a drug-target interaction prediction framework combining Hierarchical Molecular Graphs and improved Convolutional Block Attention Module

Zerui Yang, Yinqiao Li, Yudai Matsuda, Linqi Song

This paper introduces mHGM-DTI, a framework for drug-target interaction prediction that improves feature extraction and molecular encoding, achieving better performance than existing models in 11 out of 16 experiments.

1 citation

deep learningdrug response / drug discovery

𝕏 PostBluesky

BioinformaticsbioRxivPreprintMay 19, 2024

iResNetDM: Interpretable deep learning approach for four types of DNA modification prediction

Zerui Yang, Wei Shao, Yudai Matsuda, Linqi Song

This paper introduces iResNetDM, a deep learning model that predicts four types of DNA modifications with high performance and interpretability.

DOI 10.1101/2024.05.19.594892

DNA methylationdeep learning

𝕏 PostBluesky