Author

Yuko Mimori‐Kiyosue

Kansai Medical UniversityORCID 0000-0003-3513-9072Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Assay:imaging· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Akiko Hayashi· 1 shared Kazuyuki KiyosueiD· 1 shared Koichiro HigasaiD· 1 shared Miwa Okada· 1 shared Satoshi HaraiD· 1 shared Takashi WashioiD· 1 shared Takuo YasunagaiD· 1 shared Tomoko Hamaji· 1 shared

Activity by Year

2025-2025 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 36 mutual co-author links

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1 shared paperBioinformatics

Akiko Hayashi

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1 paper

Recent·Most cited

Comparative Extraction of Cellular Features from High-Resolution Volume Imaging

Yuko Mimori‐Kiyosue, Tomoko Hamaji, Akiko Hayashi, Miwa Okada, Koichiro Higasa, Kazuyuki Kiyosue, Yuki Gomibuchi, Takuo Yasunaga, Takashi Washio, Satoshi Hara

The paper introduces M-VEST, a method for extracting structural features from high-resolution imaging data, and applies it to study Aurora kinase A in mitotic cells.

bioRxiv · Feb 1, 2025 · PreprintBioinformatics