A Yeast9 GEM plus FBA, Random Forest, XGBoost, VAE, SHAP, Bayesian optimization and GAN framework yields a 12-fold biomass flux increase in simulated S. cerevisiae for SCP production.
Bradley Efron
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An Integrative Genome-Scale Metabolic Modeling and Machine Learning Framework for Predicting and Optimizing Single-Cell Protein Production in Saccharomyces cerevisiae
A Yeast9 GEM plus FBA, Random Forest, XGBoost, VAE, SHAP, Bayesian optimization and GAN framework yields a 12-fold biomass flux increase in simulated S. cerevisiae for SCP production.
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