masigpro: The function executes maSigPro analysis
In oneChannelGUI: A graphical interface designed to facilitate analysis of microarrays and miRNA/RNA-seq data on laptops
Description
Usage
Author(s)
See Also
Description
The function creates:
1. Create a regression matrix for the full regression model (make.design.matrix 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 (T.fit 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.
Usage
1
masigpro()
Author(s)
Raffaele A Calogero
See Also
masigpro.edesign, masigpro.view
oneChannelGUI documentation built on Nov. 17, 2017, 11:02 a.m.
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Description Usage Author(s) See Also
Description
The function creates: 1. Create a regression matrix for the full regression model (make.design.matrix 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 (T.fit 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.
Usage
1 | masigpro()
|
Author(s)
Raffaele A Calogero
See Also
masigpro.edesign, masigpro.view
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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