SLEMM: million-scale genomic predictions with window-based SNP weighting
BIOINFORMATICS, 39(3).
MeSH headings : Female; Animals; Cattle; Polymorphism, Single Nucleotide; Bayes Theorem; Genome; Genomics / methods; Genotype; Phenotype; Models, Genetic
TL;DR:
Extensive analyses on seven public datasets showed that SLEMM with SNP weighting had overall the best predictive ability among a variety of genomic prediction methods including GCTA's empirical BLUP, BayesR, KAML, and LDAK’s BOLT andBayesR models.
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