# T-CTRL

- **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:** [Abel Costa](https://cerebralvalley.ai/u/anetoc)
- **GitHub:** https://github.com/anetoc/ISCI-hackathon
- **Demo video:** https://youtu.be/7Rz4PpmQZuI
- **Gallery:** https://cerebralvalley.ai/e/built-with-claude-life-sciences/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/built-with-claude-life-sciences/hackathon/gallery/146

Perturbation screens often rank genes by effect size, so a gene that changes many transcripts can be mistaken for one that actually controls cell state. We built T-CTRL, an auditable workflow that computes ISCI, our Immune-State Controllability Index, and asks whether functional direction and cross-donor repeatability add information after effect magnitude is already known.

In the Marson CD4+ T-cell Perturb-seq screen, the pre-specified full-sample M→M+C test improved recovery of known regulators by +0.357 AUPRC (95% CI [+0.117,+0.538]). A separate, stricter, fully refit leakage-free out-of-fold estimate was +0.215 ([+0.074,+0.560], permutation p=0.010). These are distinct measurements, and we report both.

Stress tests deliberately bound the claim. A broad external functional-regulator set fails (ΔAUPRC −0.281); the CAR-T clinical-prediction analysis is NULL; and scGPT corroboration is NOT-EVALUABLE because required inputs were unavailable. Marson CD4+ passes, Schmidt CD4+ and THP-1 are near-misses, and non-immune K562/RPE1 systems fail.

The result is therefore a tested scope map, not a universal controller score or target list. T-CTRL ships as a Python CLI, reusable DatasetSpec framework, executable notebook, interactive demo, claim ledger and provenance-bound evidence package, with 151 tests and 21/21 automated release gates.

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Markdown version of https://cerebralvalley.ai/e/built-with-claude-life-sciences/hackathon/gallery/146. Site index for agents: https://cerebralvalley.ai/llms.txt · full text: https://cerebralvalley.ai/llms-full.txt