# Wen Group

- **Event:** [Built with Claude: Life Sciences](https://cerebralvalley.ai/e/built-with-claude-life-sciences)
- **When:** Jul 7 at 12:00 PM – Jul 14 at 12:00 AM (EDT)
- **Where:** Online
- **Team:** [Ke Ding](https://cerebralvalley.ai/u/FreakingPotato)
- **GitHub:** https://github.com/FreakingPotato/NucEL_Chromatin_Effects/tree/main
- **Demo video:** https://youtu.be/NeMU1IttMME
- **Gallery:** https://cerebralvalley.ai/e/built-with-claude-life-sciences/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/built-with-claude-life-sciences/hackathon/gallery/87

Cell-Type-Resolved Chromatin Effects of AD/PD Variants: DNA Language Model vs. ChromBPNet. We asked whether a general DNA language model can rival the specialized CNN ChromBPNet at predicting how non-coding variants affect chromatin accessibility. We fine-tuned our model, NucEL, on the same brain DNase-seq and GM12878 ATAC data and ran ChromBPNet's own endpoints. NucEL beat zero-shot ChromBPNet at accessibility classification in all four brain cell types and on GM12878 (0.967 vs 0.899), and independently reproduced ChromBPNet's variant-effect atlas (ρ=0.50; CR1 the shared top AD hit). A 1×→50× scaling curve shows the gap is data-limited, not architectural — suggesting general sequence models can match purpose-built regulatory CNNs given enough data.

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Markdown version of https://cerebralvalley.ai/e/built-with-claude-life-sciences/hackathon/gallery/87. Site index for agents: https://cerebralvalley.ai/llms.txt · full text: https://cerebralvalley.ai/llms-full.txt