GNE: a deep learning framework for gene network inference by aggregating biological information

BMC Systems Biology

Table 6 New gene interactions that are assigned high probability by GNE

Organism	Probability		Gene i	Gene j	Experimental evidence code
	Topology	Topology + Expression
Yeast	0.287	0.677	TFC8	DHH1	Affinity Capture-RNA [35]
	0.394	0.730	SYH1	DHH1	Affinity Capture-RNA [35]
	0.413	0.746	CPR7	DHH1	Affinity Capture-RNA [35]
	0.253	0.551	MRP10	DHH1	Affinity Capture-RNA [35]
	0.542	0.835	RPS13	ULP2	Affinity Capture-MS [36]
E. coli	0.014	0.944	ATPB	RFBC	Affinity Capture-MS [37]
	0.012	0.941	NARQ	CYDB	Affinity Capture-MS [37]
	0.013	0.937	PCNB	PAND	Affinity Capture-MS [37]
	0.015	0.939	FLIF	CHEY	Affinity Capture-MS [37]
	0.017	0.938	YCHM	PROB	Affinity Capture-MS [37]

New gene interactions on 2018 version that are assigned high probability by GNE after integration of expression data. We provide probability predicted by GNE (with/without expression data) for new interactions in the 2018 version and evidence supporting the existence of predicted interactions

ISSN: 1752-0509