An investigation of irreproducibility in maximum likelihood phylogenetic inference
Replicate runs of maximum likelihood phylogenetic analyses can generate different tree topologies due to differences in parameters, such as random seeds. Here, Shen et al. demonstrate that replicate runs can generate substantially different tree topologies even with identical data and parameters.
Guardado en:
Autores principales: | Xing-Xing Shen, Yuanning Li, Chris Todd Hittinger, Xue-xin Chen, Antonis Rokas |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2020
|
Materias: | |
Acceso en línea: | https://doaj.org/article/89b812f2f7b64fb78541099c22294c84 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Semiparametric maximum likelihood probability density estimation.
por: Frank Kwasniok
Publicado: (2021) -
Quantum circuit cutting with maximum-likelihood tomography
por: Michael A. Perlin, et al.
Publicado: (2021) -
Semiparametric maximum likelihood probability density estimation
por: Frank Kwasniok
Publicado: (2021) -
Maximum Likelihood Localization Method With MIMO-OFDM Transmission
por: Wan Amirul Mahyiddin, et al.
Publicado: (2021) -
Irreproducibility in searches of scientific literature: A comparative analysis
por: Gábor Pozsgai, et al.
Publicado: (2021)