Table 2 Factor analysis for candidate genes for immune function

From: Identification of co-regulated transcripts affecting male body size in Drosophila

	Factor 1		Factor 2		Factor3
	Name	Load	Name	Load	Name	Load
1	dl	0.93	scrib	0.95	AttB	0.86
2	cact	0.86	CecA1	0.88	GNBP2	0.86
3	LysC	0.86	CecA2	0.85	CG16756	0.85
4	LysD	0.84	IM2	-0.84	CG8193	0.83
5	LysB	0.84	PGRP-SA	-0.78	Bc	0.74
6	LysE	0.83	CG5140	-0.76	Eip93F	-0.73
7	GNBP3	-0.81	IM1	-0.69	ref(2)P	0.72
8	tub	0.77	IM4	-0.69	CG2736	0.69
9	Tl	0.74	CG6214	0.66	CG3829	0.65
10	CG12780	0.74	CecC	0.63	PGRP-SC2	0.60
11	Mpk2	0.73	PGRP-SC1b	-0.59	IM1	-0.59
12	PGRP-LE	0.72	CG1643	-0.53	TepIV	0.53
13	Lectin-galC1	-0.72	PGRP-SD	0.52	CG6214	-0.46
14	LysS	0.70	TepIV	-0.51	Drs	-0.44
15	CG17338	0.67	cact	0.45	GNBP2	0.43
16	PGRP-SC1a	0.59	Anp	0.44	tub	0.43
17	IM4	-0.56	Lectin-galC1	0.43	Nos	0.42
18	Bc	-0.53	Tl	0.41	ref(2)P	0.50
19	ref(2)P	0.50
20	PGRP-SC2	0.49
21	ik2	-0.48
22	BEST:GH02921	-0.48
23	CG3066	0.46
24	CG8193	0.45

Factor analysis for candidate genes for immune function. There were 53 candidate genes and a three-factor model was fitted. The genes that loaded with a value greater than 0.40 are listed here. For each factor, the first column is the gene symbol name from [37] and the second column is the loading value for that gene. Genes are considered as loading 'significantly' if the absolute value of the loading value is ≥ 0.40. Genes are considered as loading 'high' if the absolute value of loading value is ≥ 0.70.

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