Toolkit for omics network analysis and modeling.
- Network-centric Approach: Our conviction lies in the transformative power of network analysis methodologies to unlock new insights in omics data.
- Inspired by Fast.ai: Our goal is to make Geometric Omics an intuitive and accessible platform for all, leveraging the capabilities of open-source projects like PyTorch Geometric, NetworkX, and more.
- Simplified Omics Data Integration: Our focus is to streamline data integration, saving you from the complexity of pre-processing.
- Broadened Data Format Compatibility: We're committed to effortlessly expanding our support for diverse omics data formats.
- Enhanced Interoperability: We strive for seamless integration with a multitude of bioinformatics tools, enabling more flexible and customized workflows.
- Adaptable Analysis Pipeline: With Geometric Omics, you can tailor the analysis pipeline to meet your project's unique needs.
- Superior Scalability: We're designing Geometric Omics to efficiently manage any data scale, ensuring optimal performance regardless of data size.
- Comprehensive Learning Resources: We pledge to provide extensive tutorials and documentation to help users of all levels effectively understand and utilize our toolkit.
Any contributions you make are greatly appreciated. Feel free to open an issue in this repository or contact the maintainers.
Distributed under the MIT License.
If you have any questions, issues, or suggestions, open an issue in this repository or contact the maintainers.