Fig. 3: Stepwise regression to identify a minimally redundant feature subset. | Nature Communications

Fig. 3: Stepwise regression to identify a minimally redundant feature subset.

From: DUBStepR is a scalable correlation-based feature selection method for accurately clustering single-cell data

Fig. 3

a Gene–gene correlation matrix of candidate feature genes (high correlation range score). b–d Residuals from stepwise regression on the gene–gene correlation matrix. e UMAP visualization of cells in an optimal feature space, colored by cell line. f–h Same UMAP, colored by expression of genes regressed out in the first three steps. i Scree plot: variance in GGC matrix explained by the gene regressed out at each step. j Standardized average expression of the final seed gene set in each of the 5 cell lines. r: Pearson correlation.

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