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A comparison of random forests, boosting and support vector machines for genomic selection.
(University of Nairobi, 2011)
BACKGROUND:
Genomic selection (GS) involves estimating breeding values using molecular markers spanning the entire genome. Accurate prediction of genomic breeding values (GEBVs) presents a central challenge to contemporary ...
Pre-selection of markers for genomic selection.
(University of Nairobi, 2011)
BACKGROUND:
Accurate prediction of genomic breeding values (GEBVs) requires numerous markers. However, predictive accuracy can be enhanced by excluding markers with no effects or with inconsistent effects among crosses ...