Table 5 Results of applying the binary logistic regression model to the 7 datasets
From: How to get the most from microarray data: advice from reverse genomics
Cancer | Dataset | Variables in the model | |||||
|---|---|---|---|---|---|---|---|
–LOG(P) | m(AN) | M(T) | FC | SD(AN) | SD(T) | ||
Breast | GDS3716 | ns | Ns | Ns | ns | Ns | 10.5(0.001) |
Breast | GSE10780 | ns | Ns | Ns | ns | Ns | 76.1(<10-6) |
Colorectal | GSE31737 | 5.2(0.02) | Ns | 19.6(<10-6)1.5 E-82 | ns | Ns | 27.8(<10-6) |
Lung | GSE18842 | ns | Ns | 13.1(<10-6)3.3 E-39 | 15.2(3.5 E-52) | 6.5(0.01) | 41.5(<10-6) |
Lung | GSE19188 | ns | Ns | Ns | ns | Ns | 220.1(<10-6) |
Prostate | GSE6919 | 7.9(0.005) | 7.1(0.007) | ns | Ns | 74.9(<10-6) | |
Prostate | GSE21034 | 22.3(<10-6) | 4.8(0.04) | 18.9 | 8.1(0.004) | 48.8(<10-6) | |