Project Overview
This project focuses on advanced metabolomics analysis and computational methods for biological data interpretation. Metabolomics is a crucial field in systems biology that provides insights into cellular processes and metabolic pathways.
Key Features
- Data Analysis: Comprehensive metabolomics data processing and analysis
- Statistical Methods: Advanced statistical approaches for metabolomics data
- R Programming: Implementation using R for bioinformatics analysis
- Visualization: Data visualization and interpretation tools
Technologies Used
- R
- Statistical analysis packages
- Data visualization tools
- Bioinformatics libraries
Research Impact
This work contributes to the understanding of metabolic pathways and their role in biological systems, providing valuable tools for metabolomics research.