D
Dr. Harry Seldon
Video
Single-Cell RNA-seq: From Count Matrix to Cell Types
Per-cell libraries are sparse and dominated by dropout, so analysis proceeds by normalisation, dimensionality reduction, graph-based clustering, and marker-driven annotation. The output is a map of the cell types present in a tissue rather than a tissue-average expression profile.
Questions this Concept answers
- Explain why single-cell analysis relies on dimensionality reduction before clustering rather than clustering the full gene-by-cell matrix directly.