Author

Hideo Matsuda

The University of OsakaORCID 0000-0002-4701-3779Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Molecular Biology· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:cell-cell communication· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Shigeto SenoiD· 3 shared Akila MayedaiD· 1 shared Fumito Hori· 1 shared Hanae Yoshioka· 1 shared Kazufumi HosodaiD· 1 shared Ken‐ichi FujitaiD· 1 shared Kotaro Harada· 1 shared Makoto OnizukaiD· 1 shared

Activity by Year

2021-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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3 shared papersMolecular Biology

Shigeto SenoORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Two closely related RNA helicases, UAP56 and URH49, couple mRNA splicing and export pathways with their distinct complexes

Ken‐ichi Fujita, Kotaro Harada, Yuya Ikeda, Hanae Yoshioka, Moe Yokoshi, Fumito Hori, Naoko Fujiwara, Shigeto Seno, Hideo Matsuda, Yukio Kawahara, Akila Mayeda, Seiji Masuda

This study identifies three splicing regulation patterns mediated by UAP56 and URH49 and their association with mRNA export pathways.

bioRxiv · Oct 29, 2026 · PreprintMolecular Biology

Synthetic model ecosystem of 12 cryopreservable microbial species allowing for a noninvasive approach

Kazufumi Hosoda, Shigeto Seno, Naomi Murakami, Hideo Matsuda, Y. Osada, Rikuto Kamiura, Michio Kondoh

The paper introduces a synthetic microbial ecosystem with 12 species to study individual and ecosystem dynamics through noninvasive measurements and machine learning.

Biosystems · Nov 19, 2023Peer-reviewedSystems Biology

SC-JNMF: Single-cell clustering integrating multiple quantification methods based on joint non-negative matrix factorization

Mikio Shiga, Shigeto Seno, Makoto Onizuka, Hideo Matsuda

The paper introduces SC-JNMF, a single-cell clustering method that integrates multiple gene expression quantification methods using joint non-negative matrix factorization, showing improved accuracy over single-method approaches.

PeerJ · Aug 27, 2021Peer-reviewedBioinformatics