Topic
Integration over-correction
Did Harmony or CCA erase the biological difference I was looking for?
Integration methods are built to align shared cell types across samples, and they will also align a disease-specific population onto a healthy one if you ask them to. The tell is a condition effect that is obvious in per-sample analysis and gone after integration.
- How to Detect Integration Over-Correction in Spatial Transcriptomics
The UMAP where every condition mixes perfectly isn't always good news, sometimes it means Harmony erased the exact difference you set out to measure.