disperseNN2: a neural network for estimating dispersal distance from georeferenced polymorphism data
Abstract Spatial genetic variation is shaped in part by an organism’s dispersal ability. We present a deep learning tool, disperseNN2, for estimating the mean per-generation dispersal distance from georeferenced polymorphism data. Our neural network performs feature extraction on pairs of genotypes,...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2023-10-01
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| Series: | BMC Bioinformatics |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12859-023-05522-7 |