Extended Data Fig. 10: Cross-individual correlation vs. predicted expression dispersion for all tested models. | Nature Genetics

Extended Data Fig. 10: Cross-individual correlation vs. predicted expression dispersion for all tested models.

From: Personal transcriptome variation is poorly explained by current genomic deep learning models

Extended Data Fig. 10

Cross-individual correlations for (a) Enformer, (b) Basenji2, (c) ExPecto, and (d) Xpresso compared to the log coefficient of variation (log σ/μ), a measure of dispersion, in the model predictions for each gene. For each model, the Pearson correlation and line of best fit using ordinary least squares are shown.

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