Author

Hideaki Shima

RIKEN Center for Sustainable Resource ScienceORCID 0000-0002-7367-9363Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:drug response / drug discovery· 1 Approach:machine learning (classical)· 1 Assay:metabolomics· 1 Assay:proteomics· 1

Frequent Co-Authors

Hideo YokotaiD· 1 shared Hirofumi Furuita· 1 shared Jun KikuchiiD· 1 shared Kei TerayamaiD· 1 shared Ken-ichi AkagiiD· 1 shared Kenji Sakata· 1 shared Miyuki MekuchiiD· 1 shared Motoshige YasuikeiD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperEcology

Hideo YokotaORCID

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1 paper

Recent·Most cited

Data-Driven Feed Optimization for Sustainable Aquaculture through Integrated Omics Analysis and Two-stage Bayesian optimization

Kei Terayama, Satoshi Soma, Hirofumi Furuita, Tomohito Shimizu, Takashi Iwasaki, Kenji Sakata, Ken-ichi Akagi, Taiga Asakura, Tetsuya Sanda, Tomofumi Yamaguchi, Yuji Fujikura, Yuki Hongo, Hideaki Shima, Hideo Yokota, Jun Kikuchi, , Miyuki Mekuchi

This paper develops a data-driven feed optimization system for aquaculture using Bayesian optimization and omics analysis to improve sustainability and growth efficiency.

bioRxiv · Jan 27, 2025 · PreprintEcology