Hi all,
I have a quick question about the expected distribution from IsoformSwitchAnalyzeR + DEXSeq. When plotting gene log2FC vs dIF after isoformSwitchTestDEXSeq(), I usually see a symmetric distribution centered around log2FC = 0 and dIF = 0 for most biological contrasts. However, in one near-control comparison (scrambled vs naïve), the distribution is asymmetric: gene expression appears globally shifted toward one condition, and the points form a funnel/triangle shape with increased dIF spread and more significant switches than expected.
Is this pattern typically indicative of technical effects (e.g., library size/composition differences, low-expression isoforms, or insufficient filtering) rather than true switching? Are there recommended filtering or normalization steps to avoid this behavior in near-null comparisons?
Thanks for any insight!

Hi all,
I have a quick question about the expected distribution from IsoformSwitchAnalyzeR + DEXSeq. When plotting gene log2FC vs dIF after
isoformSwitchTestDEXSeq(), I usually see a symmetric distribution centered around log2FC = 0 and dIF = 0 for most biological contrasts. However, in one near-control comparison (scrambled vs naïve), the distribution is asymmetric: gene expression appears globally shifted toward one condition, and the points form a funnel/triangle shape with increased dIF spread and more significant switches than expected.Is this pattern typically indicative of technical effects (e.g., library size/composition differences, low-expression isoforms, or insufficient filtering) rather than true switching? Are there recommended filtering or normalization steps to avoid this behavior in near-null comparisons?
Thanks for any insight!