Author

Md. Harun-Or-Roshid

Kyushu Institute of TechnologyORCID 0009-0000-3324-793XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:database / resource· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Approach:diffusion model· 1 Research Focus:drug response / drug discovery· 1 Organism:human· 1

Frequent Co-Authors

Hiroyuki KurataiD· 2 shared Hiroto Tsuruta· 1 shared Kazuhiro MaedaiD· 1 shared Soyogu Shigetomi· 1 shared Takumi SUTO· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

5 top collaborators · 7 mutual co-author links

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2 shared papersBioinformatics

Hiroyuki KurataORCID

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2 papers

Recent·Most cited

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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BioinformaticsComputer Methods and Programs in BiomedicinePeer-reviewedAug 2, 2026

Meta-PseU: A Meta-Classifier for Robust Prediction of RNA Pseudouridine Modification Sites from Long Sequences

Takumi SUTO, Md. Harun-Or-Roshid, Hiroyuki Kurata

Meta-PseU is a meta-classifier that improves RNA pseudouridine site prediction using long sequences, outperforming existing methods across species.

1 citation

humanmouse

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