Single-cell Analysis / R package
Seurat
Explore single-cell expression data in R, from initial filtering and clustering to comparisons across samples.
Best fit
R users working through single-cell quality checks, visualization, or dataset integration.
What you need
A compatible R installation, count matrices, and sample metadata for multisample work.
What to check
Integration can remove biological differences along with technical ones. Compare integrated and unintegrated results before interpreting a pattern.