Multi-comparative systems biology analysis reveals time-course biosignatures of in vivo bovine pathway responses to B. melitensis, S. enterica Typhimurium and M. avium paratuberculosis

Table 1 Arc weight correlation

Arc Label	Gene Start	Normalized Weight	Gene End	Relation Type
1	SOS1	0.372	GRB2	binding
2	FGF1	0.306	FGFR2	activation
3	IL1B	0.271	IL1R2	activation
4	TRAF2	0.241	FLNA	binding
	FGF1	0.234	FGFR4	activation
	MAPK4	0.204	PLA2G12B	activation
	MAPK8IP1	0.202	MAP4K1	binding
	DUSP4	0.188	MAPK3	inhibition
	MAPK4	0.185	MAP2K1IP1	binding
	DUSP4	0.178	MAPK6	inhibition
	MAPK6	0.176	RPS6KA3	phosphorylation
	MAPK12	0.173	TP53	phosphorylation
	MAP3K7IP1	0.092	MAPK12	phosphorylation
	CASP9	*-0.008*	PAK1	phosphorylation
	CASP7	*-0.123*	MAP4K1	phosphorylation
	RASGRP4	*-0.175*	RRAS2	activation
	MAPK12	*-0.184*	RPS6KA5	phosphorylation
	MAPK1	*-0.191*	YWHAZ	activation
5	DUSP4	*-0.199*	MAPK4	inhibition
6	PRKACB	*-0.209*	RAP1B	activation

Table shows highly correlated (positive weights) or anti-correlated gene-gene relationships (negative weights) learnt from the model training. The arc label column with numbers 1-6 correspond to the arcs labeled in Figure 3.

ISSN: 1753-6561