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Remove baseline
Many kinds of data combine a measurement (signal) you care about with a baseline or background (noise) you don't care about. You can analyze these data using two approaches. One approach is to perform analysis on the total signal. The other approach is to subtract or divide by a baseline or nonspecific value and then analyze and graph the results.
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Tip: This analysis does more than remove baselines. It can also add or multiply two columns.
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| • | Click Analyze and choose built-in analyses. Then choose Remove Baseline from the list of data manipulations to bring up this dialog. The choices are self-explanatory: |
| • | If you choose the option to assume a linear baseline, Prism performs linear regression with the background (nonspecific) values and then subtracts (or divides) the Y value predicted from that line. This method is appropriate when you know that the nonspecific or background values must be linear with the X values (for example nonspecific binding is often linear with ligand concentration), and is particularly useful when you have not collected baseline or nonspecific measurements at every value of X (Prism will fill in the missing nonspecific values from linear regression). When Prism fits linear regression, it does not assume that the line goes through the origin and does not display the regression results. |
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