📊 Thesis_Gender_Bias - Analyze Gender Bias in Clinical Studies

Welcome to the Thesis_Gender_Bias repository! This project helps you explore gender bias in clinical studies using statistical methods. Follow the steps below to download and run the software easily.

1. Visit the Releases Page
   Click the link below to go to the download page.
   Visit Releases Page to Download

2. Choose the Right Version
   On the Releases page, look for the most recent version. It typically shows a version number like v1.0.

3. Download the File
   Click on the file linked to the version you need. This will start the download. The file you download will be ready to run once it saves to your computer.

4. Locate the Downloaded File
   Check your "Downloads" folder or the location you chose to save the file.

5. Run the Application
   Double-click the downloaded file to run the application. Follow any prompts if asked.

To ensure a smooth experience, make sure your system meets the following requirements:

• Operating System: Windows 10 or newer, macOS Mojave or newer
• RAM: At least 4GB
• Storage: 200MB of free space
• Software: R and RStudio installed on your computer

• Statistical Analysis: Uses statistical techniques to detect gender bias in clinical studies.
• User-Friendly Interface: Designed so that anyone can navigate and use it without coding skills.
• Data Visualization: Graphs and plots to help you better understand the results.
• Comprehensive Documentation: Guides you through usage, features, and examples.
• Access GEO Datasets: Easily import and analyze gene expression datasets from the GEO database.

1. Open the Application: After running the application, you will see the main dashboard.

2. Upload Your Data: Click on the "Upload" button to select the dataset you want to analyze. Make sure your data is in an appropriate format (e.g., CSV).

3. Select Analysis Type: Choose the type of analysis you want to perform. Options include t-tests, mean reference model, and others.

4. Run the Analysis: Click on the "Run" button to start the statistical analysis. The application will process your data.

5. View Results: Once the analysis completes, results will appear on your screen. You can view graphs and statistical summaries.

6. Export Results: You can save your analysis results as a report. Click on "Export" to download the report in a format of your choice.

This project is licensed under the MIT License. You can use and modify the software as you wish, but please refer to the license file for more details.

For more information on statistical analysis in clinical studies and related topics, consider these resources:

• R Documentation: Official documentation for R programming.
• RStudio Learning: Tutorials on using RStudio effectively.
• Statistical Techniques for Data Analysis: Introductory textbooks covering key statistical concepts.

We welcome contributions to improve the project! If you'd like to help, follow these steps:

1. Fork the Repository: Click the “Fork” button in the top right corner.
2. Make Changes: Clone your fork to your computer and make changes.
3. Submit a Pull Request: Once your changes are ready, submit a pull request to the main repository.

If you encounter issues or have questions, feel free to reach out. You can create an issue in the GitHub repository, and the community will assist you as best as possible.

Thank you for using Thesis_Gender_Bias. We hope this tool aids your exploration into gender bias in clinical studies!