ba2f97ac556b2deaa647622f9ac44c83c2da837f
- Add scipy>=1.14 dependency for MAD-based outlier detection - Create quality_control.py with 4 QC functions - compute_missing_data_rates: NULL rate detection with warn/error thresholds - compute_distribution_stats: mean/median/std per layer with anomaly detection - detect_outliers: MAD-based robust outlier detection (>3 MAD) - run_qc_checks: orchestrator with composite score percentiles
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