Cargando…
A Bayesian MCMC Approach to Assess the Complete Distribution of Fitness Effects of New Mutations: Uncovering the Potential for Adaptive Walks in Challenging Environments
The role of adaptation in the evolutionary process has been contentious for decades. At the heart of the century-old debate between neutralists and selectionists lies the distribution of fitness effects (DFE)—that is, the selective effect of all mutations. Attempts to describe the DFE have been vari...
Autores principales: | Bank, Claudia, Hietpas, Ryan T., Wong, Alex, Bolon, Daniel N., Jensen, Jeffrey D. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Genetics Society of America
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3948810/ https://www.ncbi.nlm.nih.gov/pubmed/24398421 http://dx.doi.org/10.1534/genetics.113.156190 |
Ejemplares similares
-
Bayesian Network Reconstruction Using Systems Genetics Data: Comparison of MCMC Methods
por: Tasaki, Shinya, et al.
Publicado: (2015) -
Likelihood, Bayesian, and mcmc methods in quantitative genetics
por: Sorensen, Daniel, et al.
Publicado: (2002) -
Adaptive MCMC for Bayesian Variable Selection in Generalised Linear Models and Survival Models
por: Liang, Xitong, et al.
Publicado: (2023) -
BigFoot: Bayesian alignment and phylogenetic footprinting with MCMC
por: Satija, Rahul, et al.
Publicado: (2009) -
Using multi-step proposal distribution for improved MCMC convergence in Bayesian network structure learning
por: Larjo, Antti, et al.
Publicado: (2015)