DESeq2 reports a p-value and an adjusted p-value. The adjusted p-value comes from the . It is a way to control the [ – This is necessary as performing a large number of statistical tests can lead to a . For example, testing 10,000 genes for differential expression means performing 10,000 statistical tests. If w use a standard $p$-value cut-off of 0.05 , we expect genes to be deemed significant by chance. A p-value of 0.05 implies that we are willing to accept that $5%$ of will be false positives. An FDR-adjusted pvalue of 0.05 implies that we are willing to accept that $5%$ of ill be false positives. $∥]∥∥ ∥[[[ $

Read more here: Source link