Identification of QTLs controlling gene expression networks defined a priori

BMC Bioinformatics

Table 2 Analysis of Variance for Network Analysis of Bay-0 Versus Sha.

Source^a	DF^b	SS^c	F Value^d	Pr > F^e
Model	739	8796.0	81.70	< .0001
Error	220	32.0
Total	959	8828.1
R-Square	Coeffient of Variation (%)
0.996369	4.009452
Source	DF	Type III SS	F Value	Pr > F
NETWORK	19	4028.9	1455.4	< .0001
GENE(NETWORK)	220	4435.0	138.4	< .0001
ACCESSION	1	0.2	1.8	0.1816
REPLICATE	1	0.1	1.2	0.2688
NETWORK × ACCESSION	19	15.7	5.7	< .0001
GENE(NETWORK) × ACCESSION	220	259.6	8.1	< .0001
ACCESSION × REPLICATE	1	0.2	1.2	0.2719
NETWORK × REPLICATE	19	4.3	1.6	0.0667
GENE(NETWORK) × REPLICATE	220	49.2	1.5	0.0008
NETWORK × ACCESSION × REPLICATE	19	3.1	1.1	0.3409

^a Source of Variation in linear additive model.
^b DF = degrees of freedom.
^c SS = Sums of squares obtained from ANOVA.
^d F Value obtained from ANOVA.
^e Pr > F = the probability that the F value is equal to the value shown. A probability less than 0.05 indicates that the F value is significant.

ISSN: 1471-2105