Cargando…
Deep Learning for Population Genetic Inference
Given genomic variation data from multiple individuals, computing the likelihood of complex population genetic models is often infeasible. To circumvent this problem, we introduce a novel likelihood-free inference framework by applying deep learning, a powerful modern technique in machine learning....
Autores principales: | Sheehan, Sara, Song, Yun S. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4809617/ https://www.ncbi.nlm.nih.gov/pubmed/27018908 http://dx.doi.org/10.1371/journal.pcbi.1004845 |
Ejemplares similares
-
dnadna: a deep learning framework for population genetics inference
por: Sanchez, Théophile, et al.
Publicado: (2022) -
Deep Learning in Population Genetics
por: Korfmann, Kevin, et al.
Publicado: (2023) -
Deep reinforcement learning with significant multiplications inference
por: Ivanov, Dmitry A., et al.
Publicado: (2023) -
A Deep Learning Approach to Population Structure Inference in Inbred Lines of Maize
por: López-Cortés, Xaviera Alejandra, et al.
Publicado: (2020) -
Population Genetic Inference With MIGRATE
por: Beerli, Peter, et al.
Publicado: (2019)