Cargando…
Fuzzy Logic as a Strategy for Combining Marker Statistics to Optimize Preselection of High-Density and Sequence Genotype Data
The high dimensionality of genotype data available for genomic evaluations has presented a motivation for developing strategies to identify subsets of markers capable of increasing the accuracy of predictions compared to the current commercial single nucleotide polymorphism (SNP) chips. In this simu...
Autores principales: | Ling, Ashley, Hay, El Hamidi, Aggrey, Samuel E., Rekaya, Romdhane |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9690945/ https://www.ncbi.nlm.nih.gov/pubmed/36421775 http://dx.doi.org/10.3390/genes13112100 |
Ejemplares similares
-
Dissection of the impact of prioritized QTL-linked and -unlinked SNP markers on the accuracy of genomic selection(1)
por: Ling, Ashley S., et al.
Publicado: (2021) -
A Bayesian approach for analysis of ordered categorical responses subject to misclassification
por: Ling, Ashley, et al.
Publicado: (2018) -
High density marker panels, SNPs prioritizing and accuracy of genomic selection
por: Chang, Ling-Yun, et al.
Publicado: (2018) -
Correction to: High density marker panels, SNPs prioritizing and accuracy of genomic selection
por: Chang, Ling-Yun, et al.
Publicado: (2018) -
Increasing accuracy of genomic selection in presence of high density marker panels through the prioritization of relevant polymorphisms
por: Chang, Ling-Yun, et al.
Publicado: (2019)