Hello everybody,

Statistics is not my strong side, so I'm asking a basic question here. I've done some bacterial RNA seq. I was able to extract my reads with HTSeq and I've done some statistics with DESeq. Now I have a list of DE genes with their associated

Which p value I should consider when treating my data? Number of genes I would include in a qPCR validation study will change notably... And I would also like to understand why I should consider one or the other parameter.

Thanks in advance!

Statistics is not my strong side, so I'm asking a basic question here. I've done some bacterial RNA seq. I was able to extract my reads with HTSeq and I've done some statistics with DESeq. Now I have a list of DE genes with their associated

*p value*and*padj value*. I know from the DESeq vignette that*padj value*corresponds to p-value adjusted for multiple testing using Benjamini-Hochberg method. However, for me that's equivalent to Chinese, i.e. I'm not sure what does it actually means.Which p value I should consider when treating my data? Number of genes I would include in a qPCR validation study will change notably... And I would also like to understand why I should consider one or the other parameter.

Thanks in advance!

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