Predicting Metabolic Pathway Dynamics w/ Machine Learning with Zak Costello - TWiML Talk #163

from The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) · host Sam Charrington

In today’s episode I’m joined by Zak Costello, post-doctoral fellow at the Joint BioEnergy Institute to discuss his recent paper, “A machine learning approach to predict metabolic pathway dynamics from time-series multiomics data.” Zak gives us an overview of synthetic biology and the use of ML techniques to optimize metabolic reactions for engineering biofuels at scale. Visit twimlai.com/talk/163 for the complete show notes.

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This episode is 39 minutes long.

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This episode was published on July 11, 2018.

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