Author

Soyogu Shigetomi

Kyushu Institute of Technology

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Bioinformatics· 1

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Research Focus:benchmarking· 1 Research Focus:database / resource· 1 Approach:deep learning· 1 Approach:diffusion model· 1 Research Focus:drug response / drug discovery· 1 Assay:proteomics· 1 Research Focus:software / tool· 1 Approach:statistical model· 1

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Hiroto Tsuruta· 1 shared Hiroyuki KurataiD· 1 shared Kazuhiro MaedaiD· 1 shared Md. Harun-Or-RoshidiD· 1 shared

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2026-2026 · peak 1/yr

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1 shared paperBioinformatics

Hiroto Tsuruta

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BioinformaticsInternational Journal of Molecular SciencesPeer-reviewedAug 27, 2026

GDA-Pred: Generative AI-Driven Data Augmentation for Improved Prediction of IL-6 and IL-13 Inducing Peptides

Hiroyuki Kurata, Hiroto Tsuruta, Soyogu Shigetomi…·Kazuhiro Maeda

GDA-Pred improves prediction of IL-6 and IL-13 inducing peptides by using generative AI to augment small datasets, enhancing classifier performance through data expansion.

DOI 10.3390/ijms27177688

proteomicsdeep learning

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