Broad-IBD-Challenge

This repository contains the codebase for the Autoimmune Disease Machine Learning Challenge.

• Crunch 1: Predict gene expression from pathology images.
• Crunch 2: Predict unseen genes using scRNA-seq data.
• Crunch 3: Identify gene markers for pre-cancerous regions.

Folder Structure

• data/: Raw and processed datasets.
• notebooks/: Jupyter notebooks for EDA, prototyping, and analysis.
• scripts/: Python scripts for automation (data preprocessing, training, evaluation).
• models/: Saved model checkpoints and final trained models.
• outputs/: Predictions and submission files.
• docs/: Documentation and reference materials.