Skip to main content
Fig. 5 | BMC Bioinformatics

Fig. 5

From: ImaGene: a convolutional neural network to quantify natural selection from genomic data

Fig. 5

Accuracy of quantifying positive selection under different representation of the distribution of true labels. Confusion matrices for estimating selection coefficients into 11 intervals from 0 to 400. Classification was performed assuming a different representation of true labels, either as a categorical distribution, a Guassian distribution, or a perturbed categorical distribution

Back to article page