Time Series Insights
Zak discusses the intricacies of analyzing time series data to predict metabolite behavior in synthetic biology. By smoothing the data and calculating time derivatives, he reveals how understanding these relationships can lead to insights on metabolic evolution and potential toxicity issues. The conversation highlights the unique challenges faced in integrating machine learning with synthetic biology.In this clip
From this podcast
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Predicting Metabolic Pathway Dynamics with Machine Learning, w/ Zak Costello - #163
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