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Satoru Koda

Showing results (1-10 of 4) with videos related to

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Frontiers in Plant Science|December 18, 2018
Statistical and Machine Learning Approaches to Predict Gene Regulatory Networks From Transcriptome DatasetsKeiichi Mochida, Satoru Koda, Komaki Inoue, et al.
Gigascience|December 7, 2018
Computer vision-based phenotyping for improvement of plant productivity: a machine learning perspectiveKeiichi Mochida, Satoru Koda, Komaki Inoue, et al.
Frontiers in Plant Science|December 14, 2017
Diurnal Transcriptome and Gene Network Represented through Sparse Modeling in <i>Brachypodium distachyon</i>Satoru Koda, Yoshihiko Onda, Hidetoshi Matsui, et al.
NAR Genomics and Bioinformatics|February 12, 2021
Parental legacy and regulatory novelty in <i>Brachypodium</i> diurnal transcriptomes accompanying their polyploidyKomaki Inoue, Kotaro Takahagi, Yusuke Kouzai, et al.
Pageof 1

Showing results (1-10 of 4) with videos related to

Sort By:
Pageof 1
Frontiers in Plant Science|December 18, 2018
Statistical and Machine Learning Approaches to Predict Gene Regulatory Networks From Transcriptome DatasetsKeiichi Mochida, Satoru Koda, Komaki Inoue, et al.
Gigascience|December 7, 2018
Computer vision-based phenotyping for improvement of plant productivity: a machine learning perspectiveKeiichi Mochida, Satoru Koda, Komaki Inoue, et al.
Frontiers in Plant Science|December 14, 2017
Diurnal Transcriptome and Gene Network Represented through Sparse Modeling in <i>Brachypodium distachyon</i>Satoru Koda, Yoshihiko Onda, Hidetoshi Matsui, et al.
NAR Genomics and Bioinformatics|February 12, 2021
Parental legacy and regulatory novelty in <i>Brachypodium</i> diurnal transcriptomes accompanying their polyploidyKomaki Inoue, Kotaro Takahagi, Yusuke Kouzai, et al.
Pageof 1