Proteome Science

Table 3 Selected probability marginals for the cell cycle pathway (6 datasets + Buffa)

From: Identifying transcription factors and microRNAs as key regulators of pathways using Bayesian inference on known pathway structures

Node	Marginals
		Scenario #1					Scenario #2
	*very low*	*medium low*	*medium*	*medium high*	*very high*	*very low*	*medium low*	*medium*	*medium high*	*very high*
SMAD3	0.29	0.39	0.18	0.09	0.06	0.21	0.31	0.19	0.12	0.16
CDKN2B	0.99		0.01		0.01	0.48	0.11	0.12	0.14	0.14
CCND1			(de)*			(de)
CDK4	0.01		0.01	0.82	0.16	0.12	0.2	0.18	0.28	0.22
TFE3			0.69	0.31			0.04	0.31	0.65	0.01
LMO2		0.06	0.82	0.12	0.01	0.01	0.14	0.77	0.08	0
ELK4	0.98	0.01		0.01		0.98		0.01		0.01
SREBF2	0.01		0.99			0.09	0.01	0.89	0.01
PAX4	1.0					1.0
NFIC	0.22	0.36	0.35	0.07		0.14	0.36	0.29	0.19	0.01
STAT6	0.01	0.01	0.09	0.9				0.09	0.9	0.01
SREBF1				0.98	0.01			0.07	0.9	0.03
NFIB	0.12	0.26	0.32	0.23	0.08	0.13	0.29	0.29	0.21	0.07
PPARA	0.99	0.01				0.98	0.01		0.01	0.01
hsa-mir-375	0.04	0.1	0.11	0.33	0.42	0.04	0.07	0.15	0.33	0.42

*de: the gene is differentially expressed and was used as evidence.

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