<?xml version="1.0" encoding="UTF-8"?><oembed><type>video</type><version>1.0</version><html>&lt;iframe src=&quot;https://www.loom.com/embed/3c7060ddd42e4c15bab80646f6f03909&quot; frameborder=&quot;0&quot; width=&quot;1728&quot; height=&quot;1296&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1296</height><width>1728</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1296</thumbnail_height><thumbnail_width>1728</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/3c7060ddd42e4c15bab80646f6f03909-6b7bda569eabbc76.gif</thumbnail_url><duration>355.035</duration><title>Creating Custom Data Transformations in the Data Preparation App</title><description>In this tutorial, I walk you through creating custom data transformations in the Data Preparation app using an example with drug data at 0 and 10, including three replicates each. I demonstrate how to upload additional data, add a background subtraction column, and perform column-based arithmetic, including logging and calculating means for each drug condition. We also calculate a signal window by subtracting drug ten from drug zero. I encourage you to follow along and apply these transformations to your own data. Thank you for your attention!</description></oembed>