Multi-omics machine learning project for breast cancer clinical subtype classification using TCGA-BRCA data.

Reproducible TCGA multi-omics ML pipeline for MSI status prediction, comparing single-omics baselines, early/late fusion, unsupervised clustering, and feature-level explainability.

Python package for integrating omics data with genome-scale metabolic models and running comparative constraint-based metabolic analysis.