Open access
Aug 2026
Integrating Machine Learning and Transcriptomics to Enhance β‑Carotene Production in Saccharomyces cerevisiae
This study demonstrates the effectiveness of XGBoost in predicting complex combinatorial designs and highlights the potential of combining machine learning and transcriptomic insights to optimize non-native biochemical production in yeast.
Peerapat Khamwachirapithak, K. Sae-tang, Suriyaporn Bubphasawan et al.
· ACS Omega · 0 citations