Feature-level Integration #9267
Description
It would be great to be able to get an adjusted feature-level matrix rather than a dimension reduction.
The Seurat v5 integration procedure aims to return a single dimensional reduction that captures the shared sources of variance across multiple layers, so that cells in a similar biological state will cluster. The method returns a dimensional reduction which can be used for visualization and unsupervised clustering analysis.
RUV-III-NB can do it.
... returns the adjusted data suitable for downstream analyses that uses gene-level counts, such as differential expression analyses.