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F. de Pinho Werneck

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Evolutionary Biology· 1

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Research Focus:benchmarking· 1 Research Focus:clustering· 1 Approach:contrastive learning· 1 Approach:deep learning· 1 Assay:DNA methylation· 1 Research Focus:gene regulatory network inference· 1 Organism:mouse· 1 Research Focus:trajectory inference· 1

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B. C. Carstens· 1 shared E. Masiero da Fonseca· 1 shared G. Rinaldi Colli· 1 shared

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B. C. Carstens

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Evolutionary BiologybioRxivSep 11, 2020

Phylogeographic model selection using convolutional neural networks

E. Masiero da Fonseca, G. Rinaldi Colli, F. de Pinho Werneck, B. C. Carstens

This study applies convolutional neural networks to phylogeographic model selection, achieving high accuracy in demographic model identification compared to approximate Bayesian computation.

DOI 10.1111/1755-0998.13427

mouseDNA methylation

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