limmaGUI: A graphical user interface for linear modeling of microarray data
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Implication
Randomized trial explores differential expression using limmaGUI for analyzing microarray data, suggesting stable results in complex experiments.
Key Points
- This research introduces limmaGUI, aimed at simplifying the analysis of microarray data through a user-friendly interface.
- Developed as an R package utilizing R-Tcl/Tk for a graphical user interface.
- Included features for background correction, normalization, and graphical display of microarray results.
- Supports empirical Bayes methods for analyzing complex experiments with multiple RNA sources.
- limmaGUI facilitates efficient analysis of differential expression across various experimental designs.
- Demonstrated stable results with small sample sizes due to empirical Bayes shrinkage.
- Effectively accommodates complex designs with integrated support for quality weights and multiple testing adjustments.
Cite This Study
Wettenhall et al. (2004) studied this question.