Author

G. R. Gower

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Evolutionary Biology· 1

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Approach:deep learning· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Approach:transformer / foundation model· 1 Research Focus:variant calling· 1 Assay:whole-genome sequencing· 1

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F. Racimo· 1 shared M. Fumagalli· 1 shared P. I. Picazo· 1 shared

Activity by Year

2020-2020 · peak 1/yr

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3 top collaborators · 3 mutual co-author links

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1 shared paperEvolutionary Biology

F. Racimo

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1 paper

Recent·Most cited

Detecting adaptive introgression in human evolution using convolutional neural networks

G. R. Gower, P. I. Picazo, M. Fumagalli, F. Racimo

This paper develops a convolutional neural network to detect adaptive introgression in human genomes using simulated and real data, achieving 95% accuracy on simulated datasets.

bioRxiv · Sep 18, 2020Evolutionary Biology