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CS598 Deep Learning for Healthcare – Final Project

BulkRNA-BERT Reproducibility Study

This repository contains all the files for my final project in CS598 Deep Learning for Halthcare.
The goal of the project was to reproduce key parts of the BulkRNA-BERT paper using real TCGA gene expression data and clinical survival information. Since the original codebase could not be installed (old dependencies, Python/CUDA issues), I recreated a lightweight version of the model and ran experiments on four TCGA GBM/LGG patients.

What’s Included

  • final_project.py – main script that:
    • Loads the four TCGA TSV files
    • Extracts survival info from the XML files
    • Builds the patient-by-gene matrix
    • Runs PCA and a simplified BulkRNA-BERT encoder
    • Computes C-index values and generates plots
  • All four expression TSV files
  • All four clinical XML files
  • My final report PDF

Video Presentation

https://mediaspace.illinois.edu/media/t/1_xtnkjlbz

PyHealth Pull Request

sunlabuiuc/PyHealth#711

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