Modeling regulatory networks using machine learning for systems metabolic engineering.

Kwon, Mun Su; Lee, Byung Tae; Lee, Sang Yup; Kim, Hyun Uk

Kwon, Mun Su; Lee, Byung Tae; Lee, Sang Yup; Kim, Hyun Uk.

Afiliação

Kwon MS; Systems Biology and Medicine Laboratory, Department of Chemical and Biomolecular Engineering (BK21 Plus Program), Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Republic of Korea; Systems Metabolic Engineering and Systems Healthcare Cross-Generation Collaborative Laborato
Lee BT; Systems Biology and Medicine Laboratory, Department of Chemical and Biomolecular Engineering (BK21 Plus Program), Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Republic of Korea; Systems Metabolic Engineering and Systems Healthcare Cross-Generation Collaborative Laborato
Lee SY; Systems Metabolic Engineering and Systems Healthcare Cross-Generation Collaborative Laboratory, KAIST, Daejeon 34141, Republic of Korea; Metabolic and Biomolecular Engineering National Research Laboratory, Department of Chemical and Biomolecular Engineering (BK21 Plus Program), KAIST Institute for B
Kim HU; Systems Biology and Medicine Laboratory, Department of Chemical and Biomolecular Engineering (BK21 Plus Program), Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Republic of Korea; Systems Metabolic Engineering and Systems Healthcare Cross-Generation Collaborative Laborato

Curr Opin Biotechnol ; 65: 163-170, 2020 10.

Article em En | MEDLINE | ID: mdl-32302888

Assuntos

Engenharia Metabólica; Redes e Vias Metabólicas; Redes Reguladoras de Genes; Genoma; Aprendizado de Máquina; Redes e Vias Metabólicas/genética; Modelos Biológicos

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Redes e Vias Metabólicas / Engenharia Metabólica Idioma: En Revista: Curr Opin Biotechnol Assunto da revista: BIOTECNOLOGIA Ano de publicação: 2020 Tipo de documento: Article

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