Pre-computed TCGA-BRCA downstream analysis results for: DELPHI: Trustworthy Spatial Molecular Profiling from Histopathology Images Enables reproduction of Figure 5 (survival analysis) without downloading ~2 TB of TCGA whole-slide images. Extract into results/tcga_brca/at the repository root. Contents spatial_features.csv — 17 niche-derived spatial features for ~1000 patients univariate_cox_by_pam50.csv — PAM50-stratified univariate Cox regression multivariate_cox.json— 3-feature Cox model (C-index = 0.7546, P = 2.66e-12) niche_annotations.csv — Per-patient niche tissue-type labels annotations— Per-patient niche annotations (~1000 JSON) niches_expression— Expression-based niche assignments (~1000 NPZ) niches_confidence— Confidence-based niche assignments (~1000 NPZ) inference — Representative DELPHI inference outputs (9 PT files) ablation— Confidence-filter ablation variants Usage tar -xzf delphi_tcga_results.tar.gz -C results/tcga_brca/python scripts/figures/plot_fig5_main.py Output: figures/main/fig5.png Provenance Generated by:scripts/survival/infer_brca_full.pyscripts/survival/run_pipeline.py --oncescripts/figures/plot_fig5_main.py