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Fig. 3 | Genome Biology

Fig. 3

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

Fig. 3

Comparison among imputation methods using RNA FISH data. a Scatter plots of GINI coefficients from the imputed (or raw) vs. FISH data. The x-axis is the “true” GINI coefficient as determined by FISH experiments, and the y-axis is the imputed (or raw) GINI coefficient. The Pearson’s correlation coefficients (Pearson) and mean squared error (MSE) are shown for each method. Colors represent different genes: KDM5A (blue), LMNA (yellow), MITF (Green), TXNRD1 (red), and VGF (brown). b Gene distributions for seven imputation methods: DeepImpute (blue), DCA (yellow), MAGIC (green), SAVER (red), scImpute (purple), VIPER (brown), raw (pink), and FISH (gray) data

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Genome Biology

ISSN: 1474-760X

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