Extended Data Fig. 3: Self-projection can assess over-clustering on real data.
From: Putative cell type discovery from single-cell gene expression data
The performance on 1000 BC1A cells from the mouse retina dataset (Shekhar et al.). When the data randomly assigned as two clusters, logistic regression cannot demonstrate any predictive ability in self-projection. When splitting the 1000 BC1A cells into two clusters based on the first principal component (PC), logistic regression shows certain but not ideal predictive ability in self-projection. The performance on 500 BC2 cells and 500 BC1A cells. Self-projection shows high predictive ability. When the 500 BC2 cells are over-clustered into two clusters based on PC1, the confusion always happens between the over-clustered clusters but hardly between BC1A cells and BC2 cells.
