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Table 2 Table showing the rankings proposed by the FH, CKA, and GD methods for the IMs described by the A, D, E\(_{AA}\), E\(_{AD}\), and E\(_{DD}\) kinship kernels on the IBDSNP dataset

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

FH ranking

FH weights

CKA ranking

CKA weights

CKACLOSED ranking

CKACLOSED weights

GD ranking

GD weights

E\(_{AA}\)

0.364

D

0.027

D

1818.91

E\(_{AA}\)

0.343

E\(_{DD}\)

0.269

A

0.025

E\(_{DD}\)

1516.01

E\(_{DD}\)

0.323

E\(_{AD}\)

0.232

E\(_{DD}\)

0.018

A

1205.03

E\(_{AD}\)

0.221

D

0.070

E\(_{AD}\)

0.018

E\(_{AD}\)

917.83

D

0.056

A

0.062

E\(_{AA}\)

0.018

E\(_{AA}\)

558.59

A

0.055