Why It Matters:
Noncoding mutations can alter gene regulation, but experimental validation remains slow. AI helps prioritize high-impact variants, accelerating discovery.

🔍 Looking to apply these tools? Let’s discuss—DM or comment below!

✅ Model Comparison: Architecture, training data, strengths, and limitations of each tool.
✅ Cancer Focus: Mutations in promoters, enhancers (MYC in gliomas), and super-enhancers (BCL6 in DLBCL).
✅Transformer-based models now integrate multi-omics data for higher accuracy.

Thanks for sharing. Really interesting!

Thank you Alfonso!