Machine learning-aided scoring of synthesis difficulties for designer chromosomes.

Zheng, Yan; Song, Kai; Xie, Ze-Xiong; Han, Ming-Zhe; Guo, Fei; Yuan, Ying-Jin

Zheng, Yan; Song, Kai; Xie, Ze-Xiong; Han, Ming-Zhe; Guo, Fei; Yuan, Ying-Jin.

Afiliação

Zheng Y; Frontiers Science Center for Synthetic Biology and Key Laboratory of Systems Bioengineering, Ministry of Education, Tianjin University, Tianjin, 300072, China.
Song K; School of Chemical Engineering and Technology, Tianjin University, Tianjin, 300072, China.
Xie ZX; Frontiers Science Center for Synthetic Biology and Key Laboratory of Systems Bioengineering, Ministry of Education, Tianjin University, Tianjin, 300072, China.
Han MZ; School of Chemical Engineering and Technology, Tianjin University, Tianjin, 300072, China.
Guo F; Frontiers Science Center for Synthetic Biology and Key Laboratory of Systems Bioengineering, Ministry of Education, Tianjin University, Tianjin, 300072, China.
Yuan YJ; School of Chemical Engineering and Technology, Tianjin University, Tianjin, 300072, China.

Sci China Life Sci ; 66(7): 1615-1625, 2023 07.

Article em En | MEDLINE | ID: mdl-36881317

Assuntos

Eucariotos; Aprendizado de Máquina; Cromossomos/genética

Palavras-chave

artificial chromosome; chemical synthesis; machine learning; synthetic biology

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Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Eucariotos / Aprendizado de Máquina Tipo de estudo: Prognostic_studies Idioma: En Revista: Sci China Life Sci Assunto da revista: BIOLOGIA / CIENCIA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China

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