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What is the best threshold for FDR value #6
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You can certainly use a less stringent FDR if you like, although obviously you'll get more false positive calls. However, I agree that what you're seeing doesn't sound "right" -- for most cell types you should see at least several thousand genes come up with the default parameters. Noisy data will impact on the FDR, though, and so will an incorrect normalisation: is the signal very weak or noisy? Do you know that the driver line is OK? |
Thank you for your reply Owen. |
I performed some detailed analyses about the gene I am interested in (ninaE) in control flies. In addition I ploted all the max scores under the peak for the identified peaks and again the red bar represent ninaE. I am having a look at the reads distribution on IGV to see if there is too much noise, I don't see anything weird or wrong so far. |
Hi Owen,
I was surprised with some of my recent TaDa-seq data analysis. I used the polii.gene.call script to identify "expressed" genes in a Dam-Pol2 experiment but didn't find some genes that were supposed to be expressed. Then, I was wondering if one could "play" a bit with the FDR threshold. By default a gene is considered as expressed if log2>0 and FDR<0.01. However, FDR is different than p-value and I thought that one could allow a bit more flexibility with FDR compared to p-value. They explain it briefly here http://www.cbil.upenn.edu/PaGE/fdr.html.
What do you think about it? How did you decide on the 0.01 threshold?
Thank you for your help.
A.
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