A machine learning Automated Recommendation Tool for synthetic biology

Synthetic Biology often lacks the predictive power needed for efficient bioengineering. Here the authors present ART, a machine learning and probabilistic predictive tool to guide synthetic biology design in a systematic fashion.

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Detalles Bibliográficos
Autores principales: Tijana Radivojević, Zak Costello, Kenneth Workman, Hector Garcia Martin
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2020
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Acceso en línea:https://doaj.org/article/455f2430ea684546ad27c6da83f32506
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Sumario:Synthetic Biology often lacks the predictive power needed for efficient bioengineering. Here the authors present ART, a machine learning and probabilistic predictive tool to guide synthetic biology design in a systematic fashion.