Table 4 ANOVA table to quantify variability
From: Mixture models for gene expression experiments with two species
Categories (1, 2, 3, 4, 5, 6) | Categories (1, 2, 3, 4, 7, 8) | |||
|---|---|---|---|---|
Source of variation | df | Sum of squares | Sum of squares | |
Case I | Replicates | 1 | 1,141(0.006) | 7,319,401(0.408) ∗ |
Mean magnitude | 1 | 5,415,341(11.560) ∗ | 4,982,736(0.252) ∗ | |
Array noise | 1 | 1,561,198(15.950) ∗ | 6,353(0.042) | |
Replicates Ă— Mean magnitude | 1 | 1,197(0.032) | 392,099(0.122) ∗ | |
Replicates Ă— Array noise | 1 | 697(0.012) | 351(0.011) | |
Mean magnitude Ă— Array noise | 1 | 400,720(7.021) ∗ | 16,601(0.043) ∗ | |
Replicates Ă— Mean magnitude Ă— Array noise | 1 | 145(0.002) | 214(0.010) | |
Error | 3,992 | 1,689,667(12.887) | 592,184(1.817) | |
Total | 3,999 | 9,070,107(47.471) | 13,309,941(2.706) | |
Case II | Replicates | 1 | 73,917(0.006) | 3,676,664(2.888) |
Mean magnitude | 1 | 6(56.346) | 22,274(2.830) | |
Array noise | 1 | 130,794(43.770) ∗ | 865,448(0.001) ∗ | |
Replicates Ă— Mean magnitude | 1 | 37,277(0.190) | 36,778(1.038) | |
Replicates Ă— Array noise | 1 | 34,404(0.015) | 5,065(0.049) | |
Mean magnitude Ă— Array noise | 1 | 929,915(17.537) | 19,128(0.043) | |
Replicates Ă— Mean magnitude Ă— Array noise | 1 | 1,467(0.004) | 58(0.000) | |
Error | 3,992 | 103,604,971(47.182) | 304,161,196(27.427) | |
Total | 3,999 | 104,812,751(165.052) | 308,786,610(34.276) |