Cargando…
How Good Are Statistical Models at Approximating Complex Fitness Landscapes?
Fitness landscapes determine the course of adaptation by constraining and shaping evolutionary trajectories. Knowledge of the structure of a fitness landscape can thus predict evolutionary outcomes. Empirical fitness landscapes, however, have so far only offered limited insight into real-world quest...
Autores principales: | du Plessis, Louis, Leventhal, Gabriel E., Bonhoeffer, Sebastian |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4989103/ https://www.ncbi.nlm.nih.gov/pubmed/27189564 http://dx.doi.org/10.1093/molbev/msw097 |
Ejemplares similares
-
Exploring the Complexity of the HIV-1 Fitness Landscape
por: Kouyos, Roger D., et al.
Publicado: (2012) -
Predicting the Evolution of Sex on Complex Fitness Landscapes
por: Misevic, Dusan, et al.
Publicado: (2009) -
Advantages of Using Unweighted Approximation Error Measures for Model Fit Assessment
por: Lubbe, Dirk
Publicado: (2023) -
A Comprehensive, High-Resolution Map of a Gene’s Fitness Landscape
por: Firnberg, Elad, et al.
Publicado: (2014) -
Unsupervised Inference of Protein Fitness Landscape from Deep Mutational Scan
por: Fernandez-de-Cossio-Diaz, Jorge, et al.
Publicado: (2020)