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Fig. 1 | Genetics Selection Evolution

Fig. 1

From: Large-scale transcriptome sequencing in broiler chickens to identify candidate genes for breast muscle weight and intramuscular fat content

Fig. 1

Empirical power of LASSO, EN, RR and LMM based on simulations. X-axis represents the proportion of variance explained by the simulated effect (range from 0.01 to 0.50). 1SE: in this model, the tuning parameters were determined based on the one standard error rule; Min: the tuning parameters were determined by minimizing cross-validated mean squared prediction error; P: the p-value threshold was used for statistical significance, which was set at 0.05/15,092 for LMM, and 0.05 for LASSO, EN, and RR. LASSO least absolute shrinkage and selection operator, EN elastic net, RR ridge regression

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