rawpCheck: Raw p-value distribution from limma analysis by a mouse click
In oneChannelGUI: A graphical interface designed to facilitate analysis of microarrays and miRNA/RNA-seq data on laptops
Description
Usage
Details
Note
Author(s)
References
Description
This function allow to visualize the histogram of raw p-value distribution generated by limma analysis.
Usage
1
Details
The histogram of raw p-value distribution will show if raw p-values are uniform in the
non significant range and therefore the BH correction can be applied.
Note
BH is the most used method for the correction of type I errors in microarray analysis.
However, it has some limitation due to the initial hypotheses:
The gene expressions are independent from each other.
The raw distribution of p values should be uniform in the non significant range.
Author(s)
Raffaele A Calogero
References
To know more see limma package help
oneChannelGUI documentation built on Nov. 17, 2017, 11:02 a.m.
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Description Usage Details Note Author(s) References
Description
This function allow to visualize the histogram of raw p-value distribution generated by limma analysis.
Usage
1 |
Details
The histogram of raw p-value distribution will show if raw p-values are uniform in the non significant range and therefore the BH correction can be applied.
Note
BH is the most used method for the correction of type I errors in microarray analysis. However, it has some limitation due to the initial hypotheses: The gene expressions are independent from each other. The raw distribution of p values should be uniform in the non significant range.
Author(s)
Raffaele A Calogero
References
To know more see limma package help
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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