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MEPHAS: an interactive graphical user interface for medical and pharmaceutical statistical analysis with R and Shiny
Yi Zhou1, Siu-Wai Leung2,3, Shosuke Mizutani1
1Graduate School of Pharmaceutical Sciences, Osaka University, 1-6 Yamadaoka, Suita City, Osaka, 565-0871, Japan.
BMC Bioinformatics
|May 13, 2020
Summary
MEPHAS provides a user-friendly, web-based graphical user interface (GUI) for medical and pharmaceutical professionals to perform statistical analyses without coding. This tool enhances data analysis accessibility and visualization for researchers and practitioners.
Area of Science:
- Medical Statistics
- Pharmaceutical Data Analysis
- Bioinformatics
Background:
- R lacks an appealing GUI for medical/pharmaceutical professionals.
- Existing GUIs like EZR/R-Commander still rely heavily on command-line interfaces.
- Need for accessible statistical tools in medicine and pharmacy.
Purpose of the Study:
- Develop an interactive GUI (MEPHAS) for R.
- Support standard and advanced statistical analyses for medical/pharmaceutical practitioners.
- Provide a web-based, cross-platform solution.
Main Methods:
- Developed MEPHAS as a web-based GUI using the Shiny framework.
- Created a corresponding R package named 'mephas'.
- Integrated functionalities for data management, plotting, parameter setting, and real-time result monitoring.
Main Results:
- MEPHAS supports probability, hypothesis testing, regression models, and dimensional analyses.
- The GUI is intuitive for non-technical users, requiring no R coding.
- Offers dynamic visualization and downloadable results (CSV).
Conclusions:
- MEPHAS is a free, open-source, web-interactive GUI for medical/pharmaceutical statistical analysis.
- Facilitates data analysis and prediction through interactive settings and visualization.
- Enhances accessibility of advanced statistical methods for practitioners.
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