Figure 1
From: Considerations when using the significance analysis of microarrays (SAM) algorithm
FC effects on the endurance training data set: SAM analysis was used at various fold changes studying the exercise data set while scoring genes with a q-value of <0.05 and FC>1.5. This was done to asses the effect of the fold change option in the SAM Excel addin on genes reported as significant at a higher fold change. The figure shows the number of scored genes using 4 different chip and sample combinations: (A) All eight subjects before and after training (totally 16 arrays) were compared in a paired analysis using the U95A chips. (B) All eight subjects before and after training (totally 16 arrays) were compared in a paired analysis using the U95B chips. (C) The reduced group consisting of low four low responders (totally 8 arrays) were compared in a paired analysis using the U95B chips. (D) The reduced group consisting of low four low responders (totally 8 arrays) were compared in a paired analysis using the U95D chips.