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. 2011 Sep 19;27(21):3029–3035. doi: 10.1093/bioinformatics/btr522

Fig. 3.

Fig. 3.

Proportion of features selected on the five neural cell types data by sparse non-negative PCA and GPCA for individual PCs (top) and by the cumulative PCs (bottom). Sparse non-negative GPCA explains more of the sample variance with fewer features selected.