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 WES Exclusive	SpliceAI WGS	6.55e-01	2.67e-01	4.71e-02	8.24e-02
SpliceAI WGS Exclusive	EA WES	1.69e-01	3.54e-01	5.97e-02	2.24e-02
EA WES Exclusive	SpliceAI WGS Exclusive	6.40e-01	4.12e-01	6.85e-02	1.34e-01
SpliceAI WGS Exclusive	EA WES Exclusive	2.39e-01	4.78e-01	1.08e-01	5.51e-02
EA WES Exclusive	Overlap	1.73e-02	1.60e-01	7.06e-03	6.71e-04
SpliceAI WGS Exclusive	Overlap	2.68e-01	4.24e-01	2.54e-01	3.06e-02
Overlap	Exclusives	4.44e-01	1.92e-01	2.74e-18	1.76e-01



Evaluating how well EA WES genes are linked to SpliceAI WGS 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 WES Exclusive	SpliceAI WGS	0.54	0.84	1.37	1.12	1.79
SpliceAI WGS Exclusive	EA WES	0.56	1.28	1.29	1.41	2.45
EA WES Exclusive	SpliceAI WGS Exclusive	0.53	0.45	0.86	0.83	1.28
SpliceAI WGS Exclusive	EA WES Exclusive	0.56	1.02	0.81	1.09	2.07
EA WES Exclusive	Overlap	0.97	3.32	2.96	2.75	3.18
SpliceAI WGS Exclusive	Overlap	0.85	1.81	1.41	1.80	2.13
Overlap	Exclusives	0.54	-0.75	1.29	0.88	2.22

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 WES Exclusive	SpliceAI WGS	0.01	2.92	3.86	2.91	1.92
SpliceAI WGS Exclusive	EA WES	0.01	0.99	0.27	1.64	1.52
EA WES Exclusive	SpliceAI WGS Exclusive	0.01	0.46	2.10	2.13	1.38
SpliceAI WGS Exclusive	EA WES Exclusive	0.01	0.60	0.11	0.40	1.18
EA WES Exclusive	Overlap	0.01	10.62	12.03	10.13	1.76
SpliceAI WGS Exclusive	Overlap	0.00	0.46	0.93	0.64	3.38
Overlap	Exclusives	0.02	3.12	3.46	3.42	5.55

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 WES Exclusive	119	118	RFPL2
SpliceAI WGS Exclusive	122	122	
Overlap	3	3