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![]() However, because these concentrations often span many orders of magnitude, it's common to log-transform these concentration values before performing nonlinear regression. The rest of this guide will explore one way that these data can be analyzed via nonlinear regression to create a dose-response curve.īefore moving on, it's important to note that dose-response curves can be created directly from the amount (concentration) of agonist/antagonist. These data include a single X value representing the concentration of an agonist and two sets of response values ("No inhibitor" and "Inhibitor"), with replicate response values entered into appropriate subcolumns in the appropriate row (agonist concentration) and column (group). If you need to change the number of replicate subcolumns, click on the Table Format button in the upper/left corner of the data table. For this example, we'll create an XY data table, and choose the option "Enter 3 replicate values in side-by-side subcolumns" for the "Y" options.Īfter clicking Create, the XY table will be shown and the data can be entered (as shown below). You can set up your data table with replicates and have Prism calculate your error values, or you can enter your error values directly. Start by creating an XY data table to enter the data. This example shows the basics of creating and customizing an XY graph (for this example, a set of two dose-response curves).
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