Author

Sota Inoue

Asahi Glass (Japan)ORCID 0000-0002-4260-8570Unclaimed 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· 1 Research Focus:ecology & biodiversity· 1 Assay:imaging· 1 Assay:proteomics· 1 Research Focus:sequence-to-function modeling· 1 Approach:statistical model· 1

Frequent Co-Authors

Chinatsu MoriiD· 1 shared Hibiki SugiyamaiD· 1 shared Ken YodaiD· 1 shared Ryohei YamaguchiiD· 1 shared Yuichi MizutaniiD· 1 shared Yusuke GotoiD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

6 top collaborators · 7 mutual co-author links

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1 shared paperBioinformatics

Chinatsu MoriORCID

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2 papers

Recent·Most cited

Distribution-Constrained Optimization for Reliable ML-Guided 5'UTR Sequence Design

Ryohei Yamaguchi, Chinatsu Mori, Sota Inoue

This paper introduces a constrained optimization method for designing 5'UTR sequences using deep learning models, ensuring candidates stay within a trust region defined by an OOD score based on KNN distance.

bioRxiv · Aug 7, 2026 · PreprintBioinformatics

Integration of UAS-based spatial surveys and bio-logging tracking enhances precision in population size estimation

Sota Inoue, Yuichi Mizutani, Hibiki Sugiyama, Yusuke Goto, Ken Yoda

The paper integrates UAS-based spatial surveys and bio-logging tracking to improve population size estimation by combining individual behavior data with colony-level counts.

bioRxiv · Jan 27, 2026 · PreprintEcology