Cargando…
Inference of population admixture network from local gene genealogies: a coalescent-based maximum likelihood approach
MOTIVATION: Population admixture is an important subject in population genetics. Inferring population demographic history with admixture under the so-called admixture network model from population genetic data is an established problem in genetics. Existing admixture network inference approaches wor...
Autor principal: | Wu, Yufeng |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7355278/ https://www.ncbi.nlm.nih.gov/pubmed/32657366 http://dx.doi.org/10.1093/bioinformatics/btaa465 |
Ejemplares similares
-
Advancing admixture graph estimation via maximum likelihood network orientation
por: Molloy, Erin K, et al.
Publicado: (2021) -
Phylogenetic double placement of mixed samples
por: Balaban, Metin, et al.
Publicado: (2020) -
Sampling and summarizing transmission trees with multi-strain infections
por: Sashittal, Palash, et al.
Publicado: (2020) -
EvoLSTM: context-dependent models of sequence evolution using a sequence-to-sequence LSTM
por: Lim, Dongjoon, et al.
Publicado: (2020) -
Copy number evolution with weighted aberrations in cancer
por: Zeira, Ron, et al.
Publicado: (2020)