PhyloCNN: Improving tree representation and neural network architecture for deep learning from trees in phylodynamics and diversification studies
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Phylodynamics and diversification studies using complex evolutionary models can be challenging, especially with traditional likelihood-based approaches. As an alternative, likelihood-free simulation-based approaches have been proposed due to their ability to i... ...
