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Multiple comparisons can be computed in one GSA run,; Figure 5 is showing the above three comparisons are added in the computation.

In terms of design pool, i.e. choices of model designs to select from, two 2 factors in this example data will lead to seven possibilities in the design pool:

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Click on Configure to customize Advanced options (Figure 7).

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We recommend to use lognormal with shrinkage distribution (the default), an experienced user may want to click on Custom to configure the model type and p-value type (Figure 8).

If multiple distribution types are selected, then the number of total models that is evaluated for each feature is the product of number of design models and the number of distribution types. In the above example, suppose we have only compared A vs B in Cell type as in Figure 2, then the design model pool will have the following three models:

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