https://github.com/se7en69/microarray-course
Hosting the source code of my microarray course on GitHub
https://github.com/se7en69/microarray-course
Last synced: 7 months ago
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Hosting the source code of my microarray course on GitHub
- Host: GitHub
- URL: https://github.com/se7en69/microarray-course
- Owner: se7en69
- Created: 2023-08-17T17:06:34.000Z (about 2 years ago)
- Default Branch: main
- Last Pushed: 2023-12-28T10:26:59.000Z (almost 2 years ago)
- Last Synced: 2025-01-25T00:17:06.771Z (8 months ago)
- Language: R
- Size: 27.8 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
🧬 Hands-on Microarray Data Analysis for Differential Gene Expression - Course Repository 🧪
Welcome to the official GitHub repository for the "Hands-on Microarray Data Analysis for Differential Gene Expression" course! 🌟
This repository is your go-to resource for accessing the source code, scripts, and examples featured in the course. 🚀
📂 Repository Contents:
🖥️ GUI and Command-Line Code: Dive into the world of microarray analysis using both graphical user interfaces (GUI) and command-line tools. Explore the power of choice as you navigate through the provided code snippets and examples.
📊 Statistical Techniques in R: Explore R scripts that demonstrate statistical methods for identifying differentially expressed genes. These scripts will empower you to perform robust analyses and uncover gene expression insights.
🛠️ Preprocessing and Quality Control: Discover code segments that walk you through data preprocessing, quality control measures, and normalization techniques. Ensure your analysis is built on a solid foundation of reliable data.
📈 Visualization Scripts: Elevate your analysis by mastering the art of data visualization. Explore code for generating informative plots that transform raw data into meaningful biological insights.
How to Use:
📥 Clone or download the repository to your local machine.
🚀 Navigate through the organized folders to find the specific code segments you're interested in.
💡 Experiment with the code, adapt it to your projects, and enhance your microarray analysis skills.
Contributions and Feedback:
🙌 We encourage contributions from learners like you! If you find ways to improve the code, have additional examples to share, or want to suggest enhancements, feel free to submit pull requests.
💌 Your feedback is invaluable to us! Let us know how this repository supports your learning journey and if you have any suggestions for improvements.
Get ready to amplify your microarray analysis skills with hands-on, real-world code examples. Explore the code and unlock the potential of gene expression insights! 🧬🔍
Happy coding and discovering! 🌟