Cargando…
Phantom Epistasis in Genomic Selection: On the Predictive Ability of Epistatic Models
Genomic selection uses whole-genome marker models to predict phenotypes or genetic values for complex traits. Some of these models fit interaction terms between markers, and are therefore called epistatic. The biological interpretation of the corresponding fitted effects is not straightforward and t...
Autores principales: | Schrauf, Matías F., Martini, Johannes W. R., Simianer, Henner, de los Campos, Gustavo, Cantet, Rodolfo, Freudenthal, Jan, Korte, Arthur, Munilla, Sebastián |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Genetics Society of America
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7466977/ https://www.ncbi.nlm.nih.gov/pubmed/32709618 http://dx.doi.org/10.1534/g3.120.401300 |
Ejemplares similares
-
Genomic prediction with epistasis models: on the marker-coding-dependent performance of the extended GBLUP and properties of the categorical epistasis model (CE)
por: Martini, Johannes W. R., et al.
Publicado: (2017) -
Benchmarking Parametric and Machine Learning Models for Genomic Prediction of Complex Traits
por: Azodi, Christina B., et al.
Publicado: (2019) -
Lost in Translation: On the Problem of Data Coding in Penalized Whole Genome Regression with Interactions
por: Martini, Johannes W. R., et al.
Publicado: (2019) -
Use of F2 Bulks in Training Sets for Genomic Prediction of Combining Ability and Hybrid Performance
por: Technow, Frank
Publicado: (2019) -
Multi-trait Genomic Prediction Model Increased the Predictive Ability for Agronomic and Malting Quality Traits in Barley (Hordeum vulgare L.)
por: Bhatta, Madhav, et al.
Publicado: (2020)