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Fig. 1 | Genome Biology

Fig. 1

From: Genomic prediction with kinship-based multiple kernel learning produces hypothesis on the underlying inheritance mechanisms of phenotypic traits

Fig. 1

Figure showing the comparison between the 9 methods we benchmarked on the CATTLE dataset. The MEAN, FH, and CKA GMKL approaches using 1 to 5 kernel matrices are respectively shown in shades of green, red and blue. The gray bars show the additive GBLUP model (light) and the optimal GBLUP model (dark), which always use the optimal set of kinship matrices. The phenotypes ranging from zero to four involve only A and D effects, with Pheno:0 being 100% additive, Pheno:2 being 50/50%, and Pheno:4 being purely Dominant. Phenotypes 5–9 include also epistatic effects. They are composed by a base 33% A and D components, plus a 34% epistatic component that is additive-additive (Pheno:5), additive-dominant (Pheno:6), and dominant-dominant (Pheno:7). Pheno:8 contains a mixture of all effects

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Genome Biology

ISSN: 1474-760X

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