I don't understand why calculate a fold change ? log2(c2/c1)?
I have known the expression(normalized) of miRNA between two samples ,I want to calculate the p-value and if the p-value <0.01.Thank you for your advice first !
1 answer
If you have only two samples (and each sample has only one measurement per gene, I am assuming), getting a statistical measure (p-value) of differential expression is not possible. Perhaps the best you can do is to calculate a fold change between the two samples.
refer this (especially page:17) http://bioconductor.org/packages/2.12/bioc/vignettes/edgeR/inst/doc/edgeRUsersGuide.pdf
I am not sure that the data are from miRNA-seq. Even if they are, they are not raw counts, so edgeR will not likely be the correct toolset. That said, the general guidance in the edgeR user guide is still somewhat applicable.
It is just a common way to see how many times a probe is over/under expressed in a group vs the other.
Since the mean of your 2 populations is the observation itself (N=1), It doesn't have much sense (even if technically feasible) to use T-test based statistics (e.g. limma)
So look at biologically interesting differences.
Log in to answer this question.
could you give more informations (which tool ?, which type of data ? , etc...)