MeV+R: A User-Friendly Interface for Bioconductor in Microarray Analysis
Author Information
Author(s): Chu Vu T, Gottardo Raphael, Raftery Adrian E, Bumgarner Roger E, Yeung Ka Yee
Primary Institution: Department of Microbiology, University of Washington
Hypothesis
Can MeV be effectively integrated with Bioconductor packages to provide a user-friendly interface for microarray data analysis?
Conclusion
The integration of MeV with Bioconductor packages provides a more accessible and effective tool for analyzing microarray data.
Supporting Evidence
- MeV+R provides a graphical user interface for Bioconductor applications, making it easier for biologists to analyze microarray data.
- The integration allows for the use of advanced statistical algorithms without requiring users to learn command-line syntax.
- Case studies demonstrated that the integrated packages produced superior results compared to existing tools.
Takeaway
This study created a tool that helps scientists analyze gene data without needing to know complicated commands. It's like making a video game easier to play by adding buttons instead of requiring typing.
Methodology
The study integrated the MultiExperiment Viewer (MeV) with Bioconductor packages using Rserve to facilitate communication between the GUI and R.
Limitations
The current implementation requires Rserve to be running and may not handle missing values in some packages.
Digital Object Identifier (DOI)
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