Comparing distributions of experimental and random diffusion values (p-values for KS tests)
Seeds	Recipients	Randomize Seeds (degree-matched)	Randomize Recipients (degree-matched)	Randomize Seeds (uniform)	Randomize Recipients (uniform)
EA-ML Exclusive	GWAS and ClinVar	2.89e-04	2.45e-06	7.61e-03	1.13e-12
GWAS and ClinVar Exclusive	EA-ML	9.97e-03	5.30e-02	8.34e-04	8.40e-02
EA-ML Exclusive	GWAS and ClinVar Exclusive	1.38e-03	2.29e-05	3.87e-02	6.35e-11
GWAS and ClinVar Exclusive	EA-ML Exclusive	1.99e-01	2.33e-01	1.38e-02	4.35e-01
EA-ML Exclusive	Overlap	4.11e-03	7.09e-03	2.65e-02	8.87e-04
GWAS and ClinVar Exclusive	Overlap	2.37e-06	2.69e-06	2.62e-06	2.87e-06
Overlap	Exclusives	5.10e-13	1.02e-16	2.35e-18	1.36e-19



Evaluating how well EA-ML genes are linked to GWAS and ClinVar genes, comparing against random

ROC results
Seeds	Recipients	AUROC	Z-score for Random Seeds (degree-matched)	Z-score for Random Recipients (degree-matched)	Z-score for Random Seeds (uniform)	Z-score for Random Recipients (uniform)
EA-ML Exclusive	GWAS and ClinVar	0.71	2.70	6.05	3.02	7.53
GWAS and ClinVar Exclusive	EA-ML	0.54	3.43	2.48	2.08	1.10
EA-ML Exclusive	GWAS and ClinVar Exclusive	0.70	2.53	5.41	2.47	6.86
GWAS and ClinVar Exclusive	EA-ML Exclusive	0.50	2.40	1.40	0.97	0.01
EA-ML Exclusive	Overlap	0.88	3.08	3.41	2.88	3.36
GWAS and ClinVar Exclusive	Overlap	1.00	4.82	4.57	4.41	4.23
Overlap	Exclusives	0.70	4.43	8.93	4.62	9.27

PRC results
Seeds	Recipients	AUPRC	Z-score for Random Seeds (degree-matched)	Z-score for Random Recipients (degree-matched)	Z-score for Random Seeds (uniform)	Z-score for Random Recipients (uniform)
EA-ML Exclusive	GWAS and ClinVar	0.01	4.24	9.92	3.17	9.03
GWAS and ClinVar Exclusive	EA-ML	0.06	188.91	138.55	71.20	86.82
EA-ML Exclusive	GWAS and ClinVar Exclusive	0.01	4.04	8.53	2.23	9.35
GWAS and ClinVar Exclusive	EA-ML Exclusive	0.01	9.45	4.72	1.80	3.19
EA-ML Exclusive	Overlap	0.00	4.52	1.58	4.36	5.71
GWAS and ClinVar Exclusive	Overlap	0.58	75.74	1466.72	1684.44	547.07
Overlap	Exclusives	0.11	78.42	153.80	76.03	153.56

Z-scores are computed for the experimental area under ROC or PRC based on distributions of the random areas under these curves
Seeds: Genes where diffusion signal starts FROM)
Recipients: Genes that receive the diffusion signal and that are in the other validated group
Random genes are selected either uniformly or degree matched



Number of genes
**	#Total	# Mapped in the network	Not mapped genes	 
EA-ML Exclusive	73	73	
GWAS and ClinVar Exclusive	99	99	
Overlap	6	6