首页|East China University of Science and Technology Reports Findings in Synthetic Biology (Towards a hybrid model-driven platform based on flux balance analysis and a machine learning pipeline for biosystem design)
East China University of Science and Technology Reports Findings in Synthetic Biology (Towards a hybrid model-driven platform based on flux balance analysis and a machine learning pipeline for biosystem design)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Biotechnology - Synthetic Biology is the subject of a report. Accordingto news originating from Shanghai, People’s Republic of China, by NewsRx correspondents, research stated,“Metabolic modeling and machine learning (ML) are crucial components of the evolving next-generationtools in systems and synthetic biology, aiming to unravel the intricate relationship between genotype,phenotype, and the environment. Nonetheless, the comprehensive exploration of integrating these twoframeworks, and fully harnessing the potential of fluxomic data, remains an unexplored territory.”
ShanghaiPeople’s Republic of ChinaAsiaAlcoholsBiotechnologyCyborgsDehydrogenaseEmerging TechnologiesEnzymes and CoenzymesEthanolEthanolaminesGeneticsMachine LearningSynthetic Biology
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