scGOclust - Measuring Cell Type Similarity with Gene Ontology in Single-Cell
RNA-Seq
Traditional methods for analyzing single cell RNA-seq
datasets focus solely on gene expression, but this package
introduces a novel approach that goes beyond this limitation.
Using Gene Ontology terms as features, the package allows for
the functional profile of cell populations, and comparison
within and between datasets from the same or different species.
Our approach enables the discovery of previously unrecognized
functional similarities and differences between cell types and
has demonstrated success in identifying cell types' functional
correspondence even between evolutionarily distant species.
