Pages that link to "Q99727510"

The following pages link to Combining mechanistic and machine learning models for predictive engineering and optimization of tryptophan metabolism (Q99727510):

Displaying 10 items.

• A machine learning Automated Recommendation Tool for synthetic biology (Q99727536) (← links)
• Machine learning for metabolic engineering: A review (Q102319739) (← links)
• The Promise of Optogenetics for Bioproduction: Dynamic Control Strategies and Scale-Up Instruments (Q103777025) (← links)
• Recent advances in constraint and machine learning-based metabolic modeling by leveraging stoichiometric balances, thermodynamic feasibility and kinetic law formalisms (Q104455795) (← links)
• Streamlining Natural Products Biomanufacturing With Omics and Machine Learning Driven Microbial Engineering (Q104758027) (← links)
• Multiomics Data Collection, Visualization, and Utilization for Guiding Metabolic Engineering (Q108126716) (← links)
• Synthetic biology as driver for the biologization of materials sciences (Q108768097) (← links)
• Vision, challenges and opportunities for a Plant Cell Atlas (Q110910615) (← links)
• A FAIR-compliant parts catalogue for genome engineering and expression control in Saccharomyces cerevisiae (Q111149608) (← links)
• Strain design optimization using reinforcement learning (Q113308502) (← links)