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https://github.com/pritampanda15/ml-genomics
Machine learning in Genomics
https://github.com/pritampanda15/ml-genomics
genomics genomics-analysis genomics-data machine-learning
Last synced: about 1 month ago
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Machine learning in Genomics
- Host: GitHub
- URL: https://github.com/pritampanda15/ml-genomics
- Owner: pritampanda15
- Created: 2024-11-13T07:50:52.000Z (about 2 months ago)
- Default Branch: main
- Last Pushed: 2024-11-13T08:34:15.000Z (about 2 months ago)
- Last Synced: 2024-11-28T12:15:21.784Z (about 1 month ago)
- Topics: genomics, genomics-analysis, genomics-data, machine-learning
- Language: Jupyter Notebook
- Homepage:
- Size: 6.25 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
The `ML_Genomics` repository, is a collection of resources and tools focused on the application of machine learning techniques in genomics. It includes various submodules and scripts aimed at facilitating genomic data analysis, feature selection, and predictive modeling.
## Repository Structure
The repository comprises several submodules, each focusing on different aspects of machine learning in genomics:
- **ML-TISCH2-scRNAseq-main**: Contains resources and scripts for analyzing single-cell RNA sequencing (scRNA-seq) data using machine learning approaches, leveraging the TISCH2 database.
- **biomarkers-main**: Offers tools and scripts for identifying and analyzing genomic biomarkers, aiding in the discovery of genetic indicators associated with diseases or traits.
- **ml-genomics-resources-main**: Provides a curated list of machine learning resources applicable to genomics, including datasets, tutorials, and relevant literature.
## Getting Started
To explore the contents of this repository:
1. **Clone the Repository**:
```bash
git clone https://github.com/pritampanda15/ML_Genomics.git
```
2. **Navigate to a Submodule**:
```bash
cd ML_Genomics/ML-TISCH2-scRNAseq-main
```
3. **Follow Instructions**: Each submodule may contain its own README or documentation detailing installation steps, dependencies, and usage instructions.
## Contributing
Contributions to enhance the repository are welcome. To contribute:
1. **Fork the Repository**: Click on the 'Fork' button at the top right corner of the repository page.
2. **Create a New Branch**: For your feature or bug fix.
```bash
git checkout -b feature-name
```
3. **Make Changes**: Implement your feature or fix.
4. **Commit Changes**:
```bash
git commit -m "Description of changes"
```
5. **Push to Your Fork**:
```bash
git push origin feature-name
```
6. **Submit a Pull Request**: Navigate to your forked repository on GitHub and click on 'New Pull Request'.
## License
The repository does not specify a license. It's advisable to contact the repository owner for clarification before using the code in commercial or open-source projects.
For more details, visit the [ML_Genomics repository](https://github.com/pritampanda15/ML_Genomics).