netNMF-sc: leveraging gene–gene interactions for imputation and dimensionality reduction in single-cell expression analysis

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Figure 2.
Figure 2.

Comparison of netNMF-sc and other methods on a simulated scRNA-seq data set containing 1000 cells and 5000 genes, with dropout simulated using a multinomial dropout model. (A) Adjusted Rand Index (ARI) between the true and inferred cell clusters obtained as a function of dropout rate. (B) RMSE at dropped-out entries (RMSE0) between true and imputed transcript counts.

This Article

  1. Genome Res. 30: 195-204

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