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Fig. 4 | BMC Bioinformatics

Fig. 4

From: A statistical approach to identify, monitor, and manage incomplete curated data sets

Fig. 4

Actual vs. predicted expression experiment count per gene. a) Model predicted expression experiment count for the test data set was plotted against the actual expression experiment count per gene. A strong linear correlation was observed (R2 = 0.95), indicating that the model was accurate at predicting the number of expression experiments per gene. b) A histogram of expression experiment count residuals (actual number – predicted number) showed a single mode centered close to 0. Green and red bars are counts of genes inside or outside the 95% confidence interval respectively

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