Harnessing deep learning for population genetic inference
In population genetics, the emergence of large-scale genomic data for various species and
populations has provided new opportunities to understand the evolutionary forces that drive …
populations has provided new opportunities to understand the evolutionary forces that drive …
Inference of population genetics parameters using discriminator neural networks: an adversarial Monte Carlo approach
Accurately estimating biological variables of interest, such as parameters of demographic
models, is a key problem in evolutionary genetics. Likelihood-based and likelihood-free …
models, is a key problem in evolutionary genetics. Likelihood-based and likelihood-free …
[HTML][HTML] Tree sequences as a general-purpose tool for population genetic inference
As population genetics data increases in size new methods have been developed to store
genetic information in efficient ways, such as tree sequences. These data structures are …
genetic information in efficient ways, such as tree sequences. These data structures are …
Latent generative modeling of long genetic sequences with GANs
Synthetic data generation via generative modeling has recently become a prominent
research field in genomics, with applications ranging from functional sequence design to …
research field in genomics, with applications ranging from functional sequence design to …
Statistical Inference Using Identity-by-Descent Segments: Perspectives on Recent Positive Selection
SD Temple - 2024 - search.proquest.com
Positive selection is suggested to be the primary mechanism of phenotypic adaptation.
Selective sweeps are one model of positive selection in which beneficial mutations increase …
Selective sweeps are one model of positive selection in which beneficial mutations increase …