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Table 4 Bias * of genomic predictions from different methods, obtained for five traits of a mice population

From: A comparison of statistical methods for genomic selection in a mice population

Splitting

Method

Trait

W6W

WGS

BL

%CD8+

CD4+/CD8+

Within

POL

−4%

1%

−1%

1%

1%

emBayesB

−62%

24%

2%

−42%

−52%

RR_GBLUP

−9%

8%

13%

2%

4%

SS_BY

−18%

22%

-

5%

5%

SS_ABS

−35%

4%

−30%

5%

17%

RKHS

−1%

1%

−1%

1%

2%

SVR

−4%

3%

−6%

5%

4%

BayesCpi

−26%

66%

81%

−568%

−91%

BayesC

−43%

263%

69%

−397%

−420%

LASSO

−85%

53%

2%

−73%

−73%

RF

−1%

1%

1%

0%

1%

Across

POL

-

-

-

-

-

emBayesB

−51%

5%

3%

−58%

−87%

RR_GBLUP

−31%

8%

8%

−2%

14%

SS_BY

−44%

18%

-

−1%

17%

SS_ABS

−54%

−7%

−38%

−16%

31%

RKHS

−23%

4%

−4%

9%

10%

SVR

−24%

6%

−8%

14%

10%

BayesCpi

−15%

83%

46%

−719%

−196%

BayesC

23%

280%

115%

−239%

−359%

LASSO

−116%

40%

7%

−70%

−98%

RF

−13%

2%

−1%

5%

5%

  1. *Average of ten replicates. Bias was measured as the average difference between observed and predicted phenotypes of testing set and is presented as a proportion of the standard deviation of each trait (in %). Trait = weight at 6 weeks (W6W), weight growth slope (WGS), body length (BL), percentage of CD8+ cells (%CD8+), ratio between CD4+ and CD8+ cells (CD4+/CD8+). Splitting= splitting strategy in cross-validation (within or across-family).