Label-aware distance mitigates temporal and spatial variability for clustering and visualization of single-cell gene expression data
Description
Clustering and visualization are essential parts of single-cell gene expression data analysis. The Euclidean distance used in most distance-based methods is not optimal. The batch effect, i.e., the variability among samples gathered from different
