R package for negative control analysis.
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Updated
Mar 29, 2026 - R
R package for negative control analysis.
Repository for the 3rd paper of my PhD.
Audit the declarations a computational result carries — and check they are still true. Producer freshness, counter coherence, provenance pins, partial runs. Read-only by construction.
Source-available IX-Function causal-transfer harness: tests cross-domain causal structure reuse through pre-outcome prediction, reality-delta scoring, uncertainty preservation, falsification, negative controls, model review, donor handoffs, and bounded Wave 6 review gates. No AGI claim.
Causal Inference for Multiomics
Make research claims earn their way out of a pipeline: claims registry, fail-closed release gates, blind locks, negative controls
A tiered reference set of 797 candidate non-interacting drug pairs for benchmarking drug–drug interaction prediction, with FAERS co-exposure denominators, statistical-power tiers, and a reproducibility harness.
Small checks that prove they can fail. A guardrail nobody has seen fire is theater — so every tool ships negative controls and a --selftest that runs them.
Evidence-centric AI governance tools: PASS / ACT / CT-safe evaluation harness, specs, and examples (public subset).
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