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M. Pimentel

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Open access Sep 2026

Balanced DNA interpolation improves learning of genetic distance-informed embeddings in plants

In taxonomic research, traditional phylogenetic tree and structure analyses of genetic data are increasingly complemented by machine-learning-based identification and representation learning. Although the amount of DNA data needed to train state-of-the-art machine learning models often exceeds what can realistically be...

Lara M. Kösters, Kevin Karbstein, Ladislav Hodač et al. · 0 citations

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