From: How to get the most from microarray data: advice from reverse genomics
Dataset | Probe Type | % of Outliers | Z | P | ||
---|---|---|---|---|---|---|
Mean | N | SE | ||||
GSE3716_BC | Paired controls | 7.01 | 439 | 0.38 | Â | Â |
Cancer genes | 7.65 | 226 | 0.54 | 1.08 | 0.22 | |
GSE10780_BC | Paired controls | 4.36 | 457 | 0.38 | Â | Â |
Cancer genes | 4.59 | 469 | 0.41 | 0.84 | 0.61 | |
GSE31737_CC | Paired controls | 1.26 | 202 | 0.18 | Â | Â |
Cancer genes | 2.78 | 101 | 0.59 | 2.28 | 0.005 | |
GSE18842_LC | Paired controls | 9.47 | 506 | 0.84 | Â | Â |
Cancer genes | 12.68 | 256 | 1.40 | 2.26 | 0.01 | |
GSE19188_LC | Paired controls | 6.97 | 506 | 0.55 | Â | Â |
Cancer genes | 10.89 | 254 | 0.98 | 2.12 | 0.03 | |
GSE6919_PC | Paired controls | 0.81 | 457 | 0.08 | Â | Â |
Cancer genes | 0.98 | 230 | 0.11 | 0.56 | 0.74 | |
GSE21034_PC | Paired controls | 1.72 | 343 | 0.34 | Â | Â |
Cancer genes | 2.51 | 182 | 0.52 | 1.03 | 0.11 |