Question: How to further filter DE genes in EBSeq-HMM?
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3.8 years ago by
statfa530 wrote:

Has anyone ever worked with EBSeq-HMM?

As I know, EBSeq, uses "PP" and "FDR" to decide which genes are DE. For example under FDR 5%, a gene is said to be DE if its posterior probability (PP) of being EE (equally expressed) is <0.05. And if you want to choose most significant genes you can easily choose the ones with higher PP(DE) because we don't have a p-value or FC here to filter genes based on them.

EBSeq-HMM is developed for detection of DE genes in time course studies. So, for example, for a gene in 3 time points, the possible paths are as follows:

UP-UP (The expression path of the gene from Time 1 to Time 2 is "UP" and from Time 2 to Time 3 is "UP")









Using EBSeq-HMM, you are given a table of PPs for each possible path (remember that in EBSeq, you are only given PP(DE) and PP(EE)). Here, again, under FDR 5%, a gene is said to be DE if its PP(EE) is <0.05

Now the question is, when you use EBSeq-HMM, you don't have PP(DE). So how do you decide which genes are most significant? I know if I had p-values and FCs, I could use them, but here all we have is just PPs of all possible paths. And now that I'm using this package, I have a list of 16000 genes detected as DE which is way too many. How can I further filter them?

Please if my question is vague or you need more info, let me know.


de genes ebseq-hmm • 1.2k views
ADD COMMENTlink modified 3.8 years ago • written 3.8 years ago by statfa530
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