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Fig. 4 | Genome Biology

Fig. 4

From: DeepImpute: an accurate, fast, and scalable deep neural network method to impute single-cell RNA-seq data

Fig. 4

Comparison on effect of imputation on downstream function analysis of the experimental data (GSE102827). a UMAP plots of DeepImpute, DCA, MAGIC, SAVER, and raw data (scImpute, DrImpute, and VIPER) failed to run due to the large cell size of 48,267 cells). Colors represent original cell type labels as annotated. b Accuracy measurements of clustering using various metrics: adjusted Rand index (adjusted_rand_score), adjusted mutual information (adjusted_mutual_info_score), Fowlkes–Mallows Index (Fowlkes-Mallows), and Silhouette coefficient (Silhouette score). Higher values indicate better clustering accuracy. Bar colors represent different methods: DeepImpute (blue), DCA (orange), MAGIC (green), SAVER (red), and raw data (brown)

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