I used DESeq to identify differentially expressed genes between two timepoints, data is from high-throughput sequencing, without (!) replicates.
My starting dataset has 1734 genes. Of these, 1678 have a pval < 0.05. *All* genes have a padj (p values, adjusted for multiple testing with the Benjamini-Hochberg procedure) of 1.
I am confused by this result and don't know how to interpret it: why are so many genes considered significant(ly differentially experssed)? And, although almost all genes are considered significant, all genes without exception are actually not significant after adjustment for multiple testing?
My starting dataset has 1734 genes. Of these, 1678 have a pval < 0.05. *All* genes have a padj (p values, adjusted for multiple testing with the Benjamini-Hochberg procedure) of 1.
I am confused by this result and don't know how to interpret it: why are so many genes considered significant(ly differentially experssed)? And, although almost all genes are considered significant, all genes without exception are actually not significant after adjustment for multiple testing?