Multiscale Methods for Signal Selection in Single-Cell Data
Multiscale Methods for Signal Selection in Single-Cell Data
Analysis of single-cell transcriptomics often relies on clustering cells and then performing differential gene expression (DGE) to identify genes that vary between these clusters. These discrete analyses successfully determine cell types and markers; however, continuous variation within and between cell types may not be detected. We propose three topologically motivated …