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Deep Learning for Population Genetic Inference

Table 4

Hard sweep results, broken down by the present-day frequency (f) of the selected allele (which we would not know for a real dataset).

We defined “low” frequency as f ∈ [0, 0.3), “moderate” frequency as f ∈ [0.3, 0.7), and “high” frequency as f ∈ [0.7, 1]. We can see that if the frequency of the selected allele is low, the region is often misclassified as neutral, since the selective sweep is not yet complete. However, if the frequency is moderate or high, the dataset is usually classified correctly as a hard sweep.

Table 4

doi: https://doi.org/10.1371/journal.pcbi.1004845.t004