Hello,

I'd like to know how the log2 fold change is calculated between target and comparison population in DEXSeq. Going over the **estimateExonFoldChanges** function in an older version (0.12.1) of the package, I realize the interaction coefficient is taken from the model: count ~ condition * exon and fold change is calculated by applying a variance stabilizing transformation and then transformed to a log2 scale:

```
alleffects <- do.call(rbind, alleffects)
alleffects <- vst(exp(alleffects), object)
alleffects <- log2(alleffects/alleffects[, denoCol]). ###foldChange <- effects[,"target"] - effects[,"comparison"]
```

alleffects data frame looks like the following:

```
Gene target comparison
Ptma 5.36425504487572 5.10532234811512
Ptma 4.43604234783272 4.7521435893567
Ptma 4.30355887270297 4.72294913039353
Tmpo 2.12202872975088 1.08346386248873
Msn 1.86941999824138 2.34083780006062
```

However, in a newer version that I am currently using (1.28.3), looks like the target and comparison values being used for fold change calculation are not vst transformed. Also, being divided by log(2).

```
alleffects <- rbind(alleffectsBM, alleffectsSM)
alleffectsVst <- vst(exp(alleffects), object)
alleffects <- alleffects/log(2)
alleffects <- alleffects - alleffects[, denoCol] ###foldChange
```

The calculation in the older version makes more sense for a log2 fold change than in version 1.28.3.

An explanation for this discrepancy in fold change calculation would be appreciated.

Thanks in advance!

Hi, @alejandro-reyes-5124. Can you confirm from which version this discrepancy was resolved and what's the current version 1.38.0 uses for LFC calculation?