I read a lot of methods about integration of multiple scRNA-seq datasets from different cohorts, species, or experimental designs. I'm curious about a question.
It seems that almost all of studies try to explore "methodology" of integration rather than "application". Is there any publications using one of these integration methods to combine scRNA-seq data from different studies for downstream analysis?
For instance, if I need to analyze scRNA-seq data in a larger cohort or at different time-points, technically speaking, I can start with an integrated, larger dataset which consists of several different datasets (e.g. with different time points). But I never see any literature doing such thing at least in cancer field.
Does it mean these methods are pre-mature for application or other scientists and reviewers just don't buy it?
That is what I'm saying. If you search for any scRNA-seq integration, a lot of new methods integrating different scRNA-seq datasets come in sight.
Thanks for the hint. You've answered my question. I find some papers I need. I'm looking for studies analyzing integrated scRNA dataset like what A multimodal cell census and atlas of the mammalian primary motor cortex just did.