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In addition, we selected only those transcripts displaying a minimum fold change threshold of +1.2.
For Picciotto vs Xu mutant analyses the minimum fold change was increased to 2.0.
Cutoffs for statistical significance were a Benjamini- Hochberg corrected False Discovery Rate (FDR) <0.05 and a minimum fold change >1.8.
Among the 476 differentially expressed transcripts (identified using a minimum fold change of ±1.5 and corrected p value <0.05) 149 were expressed at higher levels in Sod2-/ erythroblasts, while 327 were down-regulated.
We reproduced this analysis and extended it to more datasets, considering genes that show a minimum fold change of 1.5 and pvalue of 0.05 as differentially expressed between ESCs and iPSCs.
Figure 2 shows the effect of introduced fold change (Fd), restriction on the minimum fold change (Fa) and expression level (Em) on the Sensitivity and Precision of the differential expression analysis.
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Significance Analysis of Microarray (SAM) software [40] was used to determine differential expression with a false discovery rate (FDR) <1% and a minimum fold-change of 2 unless otherwise stated.
Similarly to what was performed in our previous analysis, entities were filtered based on a minimum fold-change threshold.
We assume throughout this article that such a minimum fold-change threshold can be specified for the experiment at hand.
It is also frequently used in conjunction with minimum fold-change requirements (for example, 2-fold, 10-fold) so as to ensure biological relevance.
bAdditional file 4: Figure S3 shows the minimum fold-change at which a transcript is assigned a padj ≤ 0.01 for every n scenario.
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