Table 3.

Lead Candidate Putative Reference Gene Selection

Gene ID	Normalized error ranking	Average values used in calculating error rankings			Relative expression (vs. top 16 average)	Final 8 candidates
		CV	Range/average	SUMSQ (difference from mean)
PEX19	1.00	0.13	0.48	0.12	0.54	PEX19
DDB1	1.00	0.13	0.49	0.12	2.19	DDB1
UBAC2	0.94	0.14	0.5	0.13	0.53
ZNF384	0.90	0.19	0.72	0.13	0.30	ZNF384
SBF1	0.86	0.17	0.63	0.14	0.48	SBF1
TRAPPC11	0.80	0.16	0.59	0.16	0.42
EDC4	0.76	0.17	0.63	0.16	0.49
RPN1	0.73	0.16	0.55	0.16	2.02
SURF4	0.73	0.16	0.54	0.17	1.45
ARPC1A	0.69	0.15	0.56	0.16	1.45
KIAA1429	0.65	0.18	0.67	0.17	0.29	KIAA1429
PPP3CB	0.55	0.17	0.56	0.19	0.38
POLR2B	0.53	0.17	0.62	0.20	1.10	POLR2B
RAB10	0.51	0.18	0.60	0.19	1.33	RAB10
EDF1	0.49	0.18	0.64	0.21	2.97	EDF1
GOLPH3	0.47	0.19	0.63	0.20	0.80
SNX17	0.39	0.18	0.6	0.21
STT3A	0.35	0.18	0.56	0.21
PPP4R1	0.31	0.16	0.61	0.21
EIF4G2	0.27	0.17	0.6	0.22
SUMO3	0.24	0.19	0.65	0.22
UBQLN1	0.20	0.17	0.56	0.22
PIP5K1A	0.14	0.18	0.62	0.25
CDS2	0.14	0.18	0.57	0.26
RAB11A	0.08	0.20	0.66	0.26
FBXO7	0.04	0.19	0.64	0.30

The 26 candidate genes identified from the consensus analysis were further scrutinized to identify lead candidates. First, they were ranked across several error metrics within each data set (CV, range/average, and sum of squares of differences from mean expression), and the summative rank of these metrics across all sets was assigned (shown as normalized to maximum in column 2; higher ranking = more stable). The lowest ranked 10 genes were removed, and the 8 final candidates (column 7) were randomly selected such that they encompassed genes across the entire range of observed expression levels (column 6).

CV, coefficient of variation; SUMSQ, sum of squares.