Correlation between predicted and real gene expression, showing higher accuracy for scNN than elastic net. The x axis represents the PCC of genes predicted by elastic net and real gene expression across cells, while the y axis gives the PCC for scNN. The points represent genes and the color of the points represents the density. The color of distribution in b e indicates the different methods: orange, LINGER; gray, elastic net; dark green, scNN; blue, BulkNN; light blue, PCC. Null hypothesis testing results in a t -statistic with an effect size of 53.46, df = 15,659, -log 10 P = 572.09 and 95% confidence interval of [0.058, 0.063] from a two-sided paired t -test.
