TABLE 2.

Number of potential predictor genes for feed efficiency identified by t-test, edgeR, Random Forest (RF), Extreme Gradient Boosting (XGBoost), and the combination of Random Forest and Extreme Gradient Boosting (RX) in individual five tissues.

Tissue	Total no genes	CV dataset	Method
			t-Test	edgeR	RF	XGBoost	RX
Adrenal gland	9,581	1	115	157	2,283	72	7
		2	428	640	2,202	63	20
		3	103	252	2,369	42	6
		Total	586	941	4,993	171	33
Hypothalamus	9,810	1	46	194	1,902	88	13
		2	280	592	1,848	70	17
		3	182	290	1,812	81	8
		Total	473	908	4,041	222	33
Liver	5,005	1	50	121	905	109	17
		2	129	182	957	74	4
		3	299	294	999	66	10
		Total	421	486	2,092	227	30
Muscle	6,580	1	200	269	1,408	68	6
		2	295	322	1,676	69	9
		3	491	619	1,304	68	12
		Total	874	950	3,294	199	23
Pituitary	9,726	1	200	239	1,906	78	12
		2	684	356	1,902	58	15
		3	1,850	1,303	2,454	48	15
		Total	2,492	1,625	4,869	180	41

CV, cross-validation; total, total number of genes identified from threefold cross-validation datasets.