The function executes maSigPro analysis


The function creates: 1. Create a regression matrix for the full regression model ( function). 2. Computes the p-value associated to the F-Statistic of the model, which is used to select significant genes (p.vector function). 3. Applies a variable selection procedure to find significant variables for each gene ( function). This will ultimatelly be used to find which are the profile differences between experimental groups. 4. Finally, it generates lists of significant genes according to R-squared of the models (get.siggenes function). To know more about the various steps see maSigPro help.




Raffaele A Calogero

See Also

masigpro.edesign, masigpro.view

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