Cargando…
Genome-wide scans for selective sweeps using convolutional neural networks
MOTIVATION: Recent methods for selective sweep detection cast the problem as a classification task and use summary statistics as features to capture region characteristics that are indicative of a selective sweep, thereby being sensitive to confounding factors. Furthermore, they are not designed to...
Autores principales: | Zhao, Hanqing, Souilljee, Matthijs, Pavlidis, Pavlos, Alachiotis, Nikolaos |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10311404/ https://www.ncbi.nlm.nih.gov/pubmed/37387128 http://dx.doi.org/10.1093/bioinformatics/btad265 |
Ejemplares similares
-
Advancing admixture graph estimation via maximum likelihood network orientation
por: Molloy, Erin K, et al.
Publicado: (2021) -
Scalable linkage-disequilibrium-based selective sweep detection: a performance guide
por: Alachiotis, Nikolaos, et al.
Publicado: (2016) -
RAiSD detects positive selection based on multiple signatures of a selective sweep and SNP vectors
por: Alachiotis, Nikolaos, et al.
Publicado: (2018) -
Build a better bootstrap and the RAWR shall beat a random path to your door: phylogenetic support estimation revisited
por: Wang, Wei, et al.
Publicado: (2021) -
Data-driven speciation tree prior for better species divergence times in calibration-poor molecular phylogenies
por: Tao, Qiqing, et al.
Publicado: (2021)