Computer models of human metabolic networks to analyze cancer states and predict biomarkers

Awards and Recognition

This project was recognized with the GIDI-UP: Summer Research Award and awarded a grant of $10,000.

Repository Contents

• matlab-scripts/: MATLAB scripts to pre-process data and run machine learning
• bash-scripts/: Bash scripts to run these RIPTiDe on all generated TSV files in parallel on Rivanna and clean up job files
• python-scripts/: Python scripts for creating a file tree, converting from Entrez to Ensembl gene ID's, creating separate TSV files, and running RIPTiDe