Fuzzy Logic as a Strategy for Combining Marker Statistics to Optimize Preselection of High-Density and Sequence Genotype Data

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...

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Bibliographic Details
Main Authors: Ashley Ling, El Hamidi Hay, Samuel E. Aggrey, Romdhane Rekaya
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Genes
Subjects:
SNP preselection
genomic prediction
high-density genotypes
sequence genotypes
fuzzy logic
fuzzy inference
Online Access:https://www.mdpi.com/2073-4425/13/11/2100

Internet

https://www.mdpi.com/2073-4425/13/11/2100

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