video1.0<iframe src="https://www.loom.com/embed/1072548491864450a5c9459d0a0db16e" frameborder="0" width="1920" height="1440" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>14401920Loomhttps://www.loom.com14401920https://cdn.loom.com/sessions/thumbnails/1072548491864450a5c9459d0a0db16e-12c992d48817a1a0.gif395.138In this video, I’m excited to introduce a powerful new feature in the Synthase platform that allows us to fit linear models to derive new responses from our raw data. We can reshape our data, focusing on factors like substrate, pH, temperature, and enzyme types, and then calculate transformations using linear fits. I demonstrate how to analyze the effects of these factors on our derived responses, highlighting significant terms that influence the slope of our data. I encourage you to explore these new capabilities and consider how they can enhance your data analysis. Additionally, stay tuned for upcoming features, including logistic fits for curve modeling.