Tree sequences as a general-purpose tool for population genetic inference
L. S. Whitehouse, D. D. Ray, D. R. Schrider
The paper proposes a graph convolutional network to directly learn from tree sequences for population genetic inference, showing comparable or better performance than CNNs on benchmark tasks.
bioRxiv · Feb 20, 2024Evolutionary Biology