Hi!
Im trying to calculate standard deviation for the Fold Change, or logFC, in edgeR manually.
This is the result for one gene using edgeR:
logFC logCPM
-0,393306318 0,839097928
Im trying to reproduce this result manually.
Im trying to calculate the logFC manually and then get a standard deviation.
First, I got all the individual logCPM and CPM from my samples.
I then calculated: (logCPM group 2) / (logCPM group 1)
I also tried: (CPM group 2) / (CPM group 1)
The result was 1,546904843 and 1,348790178 ... Somethings not right..
I then took log(1,546904843;2) = 0,629384453... Still far off...
I did the same for CPM, took log(1,348790178;2) = 0,431665935...
So, how is these values calculated? And is it possible to get a measurement of individual variability?
Im trying to calculate standard deviation for the Fold Change, or logFC, in edgeR manually.
This is the result for one gene using edgeR:
logFC logCPM
-0,393306318 0,839097928
Im trying to reproduce this result manually.
Im trying to calculate the logFC manually and then get a standard deviation.
First, I got all the individual logCPM and CPM from my samples.
I then calculated: (logCPM group 2) / (logCPM group 1)
I also tried: (CPM group 2) / (CPM group 1)
The result was 1,546904843 and 1,348790178 ... Somethings not right..
I then took log(1,546904843;2) = 0,629384453... Still far off...
I did the same for CPM, took log(1,348790178;2) = 0,431665935...
So, how is these values calculated? And is it possible to get a measurement of individual variability?

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