# The chief dawgs

- **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:** [Santiago Silva](https://cerebralvalley.ai/u/cuentadesanti)
- **GitHub:** https://github.com/cuentadesanti/cd4-perturbseq-regulator-atlas
- **Demo video:** https://youtu.be/3tu_3JmHh14
- **Gallery:** https://cerebralvalley.ai/e/built-with-claude-life-sciences/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/built-with-claude-life-sciences/hackathon/gallery/7

We investigated whether a genome-scale CD4+ T-cell Perturb-seq screen contains reproducible regulatory architecture beyond ranked hits, statistical noise and connectivity hubs

We built a quality-audited regulator × gene × condition operator from a 1.8 TB public CRISPRi atlas using a laptop-scale pipeline. Spectral denoising reduced the operator to 92 empirically supported signal directions, and consensus community detection revealed structure 259 standard deviations above a matched null

The strongest result was annotation-blind recovery of mitochondrial Complex I, identified only after clustering, at BH-FDR 1.4 × 10⁻⁷. A second SAGA-centered module was supported by convergent evidence across CORUM, tensor factors and an independent K562 screen, while cross-cell-type analysis across CD4, K562 and RPE1 separated universal from T-cell-specific regulation

We also tested the predictive boundary of this structure. Real and shuffled regulator features performed identically for leave-regulator-out prediction, showing that recoverable structure does not imply inductive predictability

The result is an open, reproducible analysis and manuscript that others can build on

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Markdown version of https://cerebralvalley.ai/e/built-with-claude-life-sciences/hackathon/gallery/7. Site index for agents: https://cerebralvalley.ai/llms.txt · full text: https://cerebralvalley.ai/llms-full.txt