Enter the body of text here Hi, there:

I read the previous posts about deriving confidence interval for fold change using DESeq result at URLs: 95% Confidence intervals for Fold Changes computed by DESeq2 and Error bars DESeq or DESeq2 fold change

one comment from Micheal Love mentioned: Estimated standard errors for the estimated coefficients on the log2 scale are given by the lfcSE column. Yes, you can convert these to fold change errors using this formula: 2^(coef - SE) and 2^(coef + SE).

If you multiple lfcSE by normal quantiles (e.g. qnorm(.025)), you can construct confidence intervals for the coefficients. ....

my concerning point that needs a bit clarification or confirmation is whether this referred to logFC or FC:

one of my own result table of an interested contrast from DESeq2 is shown below as an example:

SYMBOL baseMean log2FoldChange lfcSE pvalue padj

Igfbp3 6947.54841 7.586917789 0.323830741 2.08E-123 3.81E-119

Gap43 2411.144079 4.597075539 0.195529679 3.43E-123 3.81E-119

Bmp2 1134.843753 7.659549924 0.351744204 3.54E-107 2.62E-103

.......

for gene Igfbp3, the log2FoldChange is 7.586917789, lfcSE is 0.323830741,
so to derive 95% confidence internal (95%C.I.) accordinyl based on formula for 95%C.I., we can do following:
[7.586917789-0.323830741*qnorm(0.975), 7.586917789+0.323830741*qnorm(0.975)] = [6.952221, 8.221614].

this calcualtion is based on logFC and and I read from the manual: The lfcSE gives the standard error of the log2FoldChange. and so the derived 95%C.I shall be for logFC, is my understanding correct? and for FC, shall be simple as 2^(6.952221) and 2^(8.221614)? just want to double check to make sure. also another question is: whether I used Log fold change shrinkage or not would impact the calculation or not? say if I do either res <- results(dds, contrast=Con1); or resLFC <- lfcShrink(dds, contrast = Con1, type="ashr"), the way of deriving 95% C.I for logFC would be different, or any concerns or issue?

Thanks so much for your help!

Best

Mike

Code should be placed in three backticks as shown below

```
# include your problematic code here with any corresponding output
# please also include the results of running the following in an R session
sessionInfo( )
```

Really Appreciated your input and confirmation, Michael! very helpful! Mike