This repository contains a reproducible WGCNA (Weighted Gene Co-expression Network Analysis) pipeline specifically designed for the PCOS (Polycystic Ovary Syndrome) microarray dataset GSE48301. The goal is to help researchers and practitioners analyze gene expression patterns related to PCOS.
To get started, follow the steps below to download and run our application. No prior programming knowledge is required.
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Visit this page to download: Click the button below to access the Releases page and download the pipeline.
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Choose the latest release version suitable for your operating system.
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Download the file to your computer. Depending on your browser, the file may appear in your designated downloads folder or prompt you to choose a location.
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After the download is complete, locate the downloaded file and double-click it to run.
- Operating System: Windows, macOS, or Linux
- Memory: At least 4 GB RAM
- Disk Space: Minimum of 200 MB free space to install and run the application
Ensure you have the following software installed:
- R (Version 4.0 or higher) - Visit CRAN to download R for your operating system.
- RStudio (optional but recommended for easier execution) - Download from the RStudio website.
- Easy-import of PCOS dataset GSE48301.
- Step-by-step analysis process, guiding you through WGCNA methods.
- Detailed visualizations for gene expression data.
- Export options for results in multiple formats.
- Comprehensive documentation included to assist with each step.
- Open RStudio (if installed) or your preferred R environment.
- Load the pipeline by running the provided R script.
- Follow the prompts in the console to specify the dataset and parameters.
- Review the output visualizations and results.
- Gene correlation networks.
- Clustering dendrograms.
- Module trait relationships.
If you encounter issues or have questions, feel free to reach out through the Issues section of this repository. We encourage discussions about results and potential improvements.
We welcome contributions from other researchers. To contribute, please fork this repository and submit a pull request. Include a description of your changes for clarity.
This project is licensed under the MIT License. See the LICENSE file for details.
This pipeline provides an accessible way to analyze PCOS data using WGCNA. We hope it empowers users to explore gene expression patterns and deepen their understanding of PCOS. For further questions, please reach out through GitHub Issues or consult the documentation within the repository.
For more download options, please visit this page: Download from Releases.