Single-cell RNA sequencing (scRNA-seq) enables detailed analysis of cellular diversity, but the data’s high dimensionality presents analytical challenges. We compare four dimensionality reduction ...

Dimensionality reduction and visualization play an important role in biological data analysis, such as data interpretation of single-cell RNA sequences (scRNA-seq). It is desired to have a ...

Visualization in the UMAP space of samples corresponding to the subtypes ER+ (a), HER2+ (b), and TN (c). The samples were categorized by cancer subtype and integrated. Cells are color-coded according ...