Author

Shotaro Ohtake

Tohoku University

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

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Plant Biology· 1

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Organism:Arabidopsis· 1 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Approach:machine learning (classical)· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Akihisa ShinozawaiD· 1 shared Hiroyasu KitashibaiD· 1 shared Masaya YamamotoiD· 1 shared Matsuyuki ShirotaiD· 1 shared Yuki MitsuiiD· 1 shared

Activity by Year

2024-2024 · peak 1/yr

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1 shared paperPlant Biology

Akihisa ShinozawaORCID

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1 paper

Recent·Most cited

Self-incompatibility phenotypes of SRK mutants can be predicted with high accuracy

Masaya Yamamoto, Shotaro Ohtake, Akihisa Shinozawa, Matsuyuki Shirota, Yuki Mitsui, Hiroyasu Kitashiba

The study identifies mutations in SRK that cause self-incompatibility defects and shows machine learning models can predict these phenotypes accurately.

New Phytologist · Sep 15, 2024Peer-reviewedPlant Biology