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. 2023 Jul 25;39(8):btad457. doi: 10.1093/bioinformatics/btad457

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© The Author(s) 2023. Published by Oxford University Press.

This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

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Figure 4. — LegNet demonstrates better prediction of variant effects for yeast grown in complex (A and B) and defined (C and D) medium compared to the transformer model of Vaishnav et al. (A and C) Pearson correlation between predictions and ground truth; (B and D) Spearman correlation; note the Y-axis lower limit. Violin plots show bootstrap with n = 10 000. * $P < 0.0001$ , Silver's dependent correlations test (Silver et al. 2004) for the total data.