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AI-based forecasting of ethanol fermentation using yeast morphological data.
Itto-Nakama, Kaori; Watanabe, Shun; Kondo, Naoko; Ohnuki, Shinsuke; Kikuchi, Ryota; Nakamura, Toru; Ogasawara, Wataru; Kasahara, Ken; Ohya, Yoshikazu.
Afiliación
  • Itto-Nakama K; Department of Integrated Biosciences, Graduate School of Frontier Sciences, The University of Tokyo, Kashiwa, Chiba, Japan.
  • Watanabe S; Chitose Laboratory Corp., Biotechnology Research Center, Miyamae-ku, Kawasaki, Kanagawa, Japan.
  • Kondo N; Department of Integrated Biosciences, Graduate School of Frontier Sciences, The University of Tokyo, Kashiwa, Chiba, Japan.
  • Ohnuki S; Department of Integrated Biosciences, Graduate School of Frontier Sciences, The University of Tokyo, Kashiwa, Chiba, Japan.
  • Kikuchi R; Chitose Laboratory Corp., Biotechnology Research Center, Miyamae-ku, Kawasaki, Kanagawa, Japan.
  • Nakamura T; Circular Bioeconomy Development, Office of Society Academia Collaboration for Innovation, Kyoto University, Kitashirakawa Oiwake-cho, Sakyo-ku, Kyoto, Japan.
  • Ogasawara W; NRI System Techno Ltd., Hodogaya-ku, Yokohama, Kanagawa, Japan.
  • Kasahara K; Department of Bioengineering, Nagaoka University of Technology, Nagaoka, Niigata, Japan.
  • Ohya Y; Chitose Laboratory Corp., Biotechnology Research Center, Miyamae-ku, Kawasaki, Kanagawa, Japan.
Biosci Biotechnol Biochem ; 86(1): 125-134, 2021 Dec 22.
Article en En | MEDLINE | ID: mdl-34751736

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Saccharomyces cerevisiae Idioma: En Revista: Biosci Biotechnol Biochem Asunto de la revista: BIOQUIMICA / BIOTECNOLOGIA Año: 2021 Tipo del documento: Article País de afiliación: Japón

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Saccharomyces cerevisiae Idioma: En Revista: Biosci Biotechnol Biochem Asunto de la revista: BIOQUIMICA / BIOTECNOLOGIA Año: 2021 Tipo del documento: Article País de afiliación: Japón